Volume - 11 Issue - 4

Area of research: Computer Science And Engineering

The Early Detection Of Brain Strokes Is Critical For Improving Patient Outcomes And Minimizing Long-term Disabilities. Timely Diagnosis Can Significantly Reduce The Risk Of Brain Damage By Enabling Swift Medical Intervention. This Research Proposes A Deep Learning-based Approach For The Early Detection Of Brain Stroke From Medical Imaging Data Using Convolutional Neural Networks (CNNs). Today, Stroke Diagnosis Is Largely Based On Neuroimaging Methods Like Magnetic Resonance Imaging (MRI) And Computed Tomography (CT) Scans. Nevertheless, The Interpretation Of Such Medical Images Is Usually Dependent On Skilled Radiologists And Can Be Time-consuming, Resulting In Delayed Diagnosis, Particularly In Urgent Cases Or Where There Is A Shortage Of Specialist Medical Staff. Additionally, Manual Interpretation Is Prone To Variability And Human Error. Such Limitations Have Created The Need For Automated, Consistent, And Effective Diagnostic Systems. Over The Past Few Years, Artificial Intelligence (AI), Especially Deep Learning (DL), Has Been Very Promising In The Area Of Medical Imaging. Convolutional Neural Networks (CNNs), Which Are One Type Of Deep Learning Architectures Developed Specifically For Image Analysis, Have Had Impressive Success In Object Detection, Classification, And Segmentation Tasks. CNNs Learn Spatial Hierarchies Of Features From Input Images Automatically, Which Explains Why They Are Suitable For Detecting Patterns And Abnormalities In Medical Scans That Can Point Towards Stroke. This Study Emphasizes The Use Of CNNs For Automated Brain Stroke Detection And Classification From Medical Imaging Data. The Methodology Includes Data Collection And Preprocessing Of Images, Designing A CNN Architecture That Suits Medical Image Classification, And Training The Model To Identify Normal Brain Images, Ischemic Strokes, And Hemorrhagic Strokes. Preprocessing Operations Like Image Standardization, Noise Filtering, And Data Resampling Are Important To Improve The Performance And Generalization Ability Of The Model. The Performance Of The Model Is Tested With Metrics Like Accuracy, Sensitivity, Specificity, And Confusion Matrix Analysis To Ensure Its Clinical Applicability.

Author: Sivesh Kumar Ar | Atheeq Basha S | Karthick P

Area of research: Economics

This Paper Emphasizes The Significance Of Economic Growth For A Country's Development And Discusses How The Human Development Index (HDI) Can Foster This Growth Through Human Development. The Study Investigates The Relationship Between GDP And HDI In Middle Eastern Countries, Revealing A Negative And Significant Correlation Between HDI And Both GDP And Inflation. Gross Domestic Product (GDP) And The Human Development Index (HDI) Are Intricately Connected, As Economic Growth Is Vital For Enhancing Human Well-being. GDP Reflects A Nation's Economic Output And Income, While HDI Serves As A Composite Measure That Includes Life Expectancy, Education, And Income Per Capita. A Higher GDP Can Improve HDI By Allocating Resources For Better Healthcare, Education, And Infrastructure, Ultimately Enhancing The Quality Of Life. However, GDP Alone Does Not Ensure Human Development, As Factors Like Income Distribution, Social Policies, And Sustainability Also Influence HDI Outcomes. This Paper Delves Into The Relationship Between GDP And HDI, Examining How Economic Growth Can Lead To Human Development And The Challenges Of Achieving Inclusive And Equitable Progress.

Author: N.Dhanyalakshmi | Sandhya

Area of research: CSE

The Oxford Dictionary Defines A Face As The Part Of A Person’s Head From The Forehead To The Chin Or The Corresponding Part Of An Animal. In Human Interactions, The Face Is The Most Significant Factor Because It Contains Important Information About An Individual. All Humans Will Acknowledge People From Their Faces. The Proposed Solution Is To Develop An Operating Prototype Of A System That May Facilitate Class Attendance Management For The Lecturers Within The Lecture Rooms By Detecting The Faces Of Scholars From An Image Taken In A Classroom.

Author: Bhoomika K P | Chaithanya B S | Chaithra A L | Inchara Mahesh | Rajath A N

Area of research: Computer Science And Engineering

An Integration Of Cloud Computing, Edge Nodes, And IoT Devices Has Facilitated Intelligent And Timely Applications Based On Big Data. Securing The Sharing Of Sensitive Information In Such Settings Continues To Be A Challenge Due To Privacy Issues, Device Limitations, And The Necessity Of Adaptable Access. To Overcome These Challenges, This Work Suggests A Privacy-Preserving Fine-Grained Data Sharing (PF2DS) Framework. PF2DS Employs Attribute-Based Encryption (ABE) And Inner Product Encryption (IPE) For Enforcing Fine-grained Access Restrictions. PF2DS Enables Owners Of The Data To Set Explicit Access Restrictions Based On The Attributes Of The User Such That The Data Could Be Accessed By Authorized People. The PF2DS Framework Also Comprises A Precise Group Management System For Effective Revocation Of The User By Key Updating Without The Re-encryption Of All The Data. For Accommodating Low-performance Devices, A Special Enhanced Version Called Edge-Assisted PF2DS (EPF2DS) Is Presented. Executions Of Complex Encryption Procedures Are Delegated On The Edge Device By EPF2DS Such That Delay And Power Consumption Are Minimized. The Experimental Results Indicate That PF2DS Enhances Security, Supports Scalability, As Well As Responsiveness While Keeping The Data Private And Thus Suitable For The Exchange Of The Data Securely Within The Context Of Cloud-edge IoT Settings.

Author: Mr.P.Dinesh | M.Vishnu Prasath | S.Sabarisanjayram | J.Vengadakrishnan

Area of research: Mechanical Engineering

The Global Surge In Plastic Production And Consumption Has Led To An Alarming Increase In Plastic Waste, Threatening Ecosystems, Public Health, And Environmental Sustainability. A Substantial Portion Of This Waste Arises From Single-use Plastic Water Bottles, Which Often Find Their Way Into Landfills And Oceans. This Study Proposes An Innovative, Eco-conscious Solution By Designing And Developing A 3D Printing Filament Making Machine That Recycles PET-based Plastic Bottles Into Usable 3D Printing Filament. The Machine Integrates A Custom-built Extrusion Setup, Cooling System, And Winding Mechanism To Convert Shredded Bottle Pieces Into Uniform Filament. Experimental Trials Demonstrate That The Machine Is Capable Of Producing High-quality Filament Suitable For Fused Deposition Modeling (FDM) 3D Printing Applications. Through A Systematic Exploration Of Materials, Processes, And Sustainability Impacts, This Project Contributes To Addressing Plastic Waste Challenges While Promoting Circular Economy Principles.

Author: Mr. Bhupesh E. Narote | Vilas G. Ambigar | Prathamesh Kadam | Hamid Patil | Piyush Gaikwad | Samrudha Bagale | Rohit Gadadure

Area of research: Economics

This Study Investigates The Impact Of Government Expenditure On Economic Growth In India, Using Annual Data From1980 To 2022. The Study Employs The Autoregressive Distributed Lag (ARDL) Model To Examine The Long-run And Short-run Relationships Between Government Expenditure And Economic Growth. The Results Indicate That Government Expenditure Has A Positive And Significant Impact On Economic Growth In The Long Run. Specifically, A 1percentage Increase In Government Expenditure Leads To A 0.23persentage Increase In Economic Growth. However, The Shortrun Relationship Is Found To Be Negative, Suggesting That Government Expenditure Can Have Acrowding-out Effect On Private Investment In The Short Term. The Study Also Finds That The Impact Of Government Expenditure On Economic Growth Varies Across Different Sectors, With The Highest Impact Observed In The Infrastructure Sector. The Findings Of This Study Have Important Implications For Policymakers In India, Highlighting The Need To Prioritize Government Expenditure In Strategic Sectors To Promote Sustainable Economic Growth.

Author: G. Lavanya | Dr. M.D. Chinnu

Area of research: Economics

International Tradefosters Economic Growth And Development. This Study Explores Its Benefits For Countries And Consumers. Through Literature Review And Survey Analysis, We Identify Key Advantages, Including Economic Efficiency, Product Variety, And Consumer Welfare. International Trade Promotes Economic Prosperity And Improves Living Standards. Our Findings Highlight Its Critical Role In Shaping The Global Economy. The Study Provides Insights Into The Positive Impact Of International Trade. It Underscores The Importance Of Trade Liberalization And Cooperation. Our Research Contributes To The Ongoing Debate On International Trade. The Findings Have Implications For Policymakers And Business Leaders. This Study Serves As A Foundation For Future Research On International Trade And Its Benefits. The Results Of This Study Can Inform Strategies To Promote Economic Growth And Development.

Author: Fina Afrin | Dr. M. D. Chinnu

Area of research: Civil Engineering

Concrete Reinforcement Technology Is Not New And Fibers Have Been Used For Reinforcement Since Ancient Times. Popular Fibers Are Made Up Of Steel And Glass, While Plastic And Nylons Have A Limited Use. Quantities, Concentration, And Dispersal Influence The Properties Of Fiber Reinforced Concrete. Fiber Reinforced Concrete Is A Type Of Concrete That Includes Fibrous Substances That Increase Its Structural Strength And Cohesion. Fiber Reinforced Concrete Has Small Distinct Fibers That Are Homogeneously Dispersed And Oriented Haphazardly. Fibers Used Are Steel Fibers, Synthetic Fibers, Glass Fibers, And Natural Fibers. The Characteristics Of Fiber Reinforced Concrete Are Changed By The Alteration Of Certain Factors: Type And Quantity Of Fibers, Geometric Configuration, Dispersal, Direction, And Concentration.

Author: Dr.A.W.Kharche | Dr.A.A.Malokar | Prafulla Khadke | Girish kawle | Chandan Chaudhari | Akash Munde | Vishal Lamhane

Area of research: Computer Engineering

Forests Are An Essential And Integral Part Of Our Ecosystem. It Plays A Crucial Role In Maintaining The Ecological Equilibrium. They Are The Habitat To Various Species Of Animals. Being The Major Producers Of Oxygen, The Very Existence Of All Living Organisms Depends On The Forest. However, The Biggest Threats To These Forests, In Recent Times Are The Increased Number Of Forest Fires. Growing At An Alarming Rate, Forest Fires In India Have Become The Talk Of The Hour. This Research Paper Is A Medium Through Which More People Can Become Aware About The Horrors Of Such Naturally Occuring Wildfires. When More People Will Become Familiar With The Problem, It Becomes Easy To Take Preventive Measures. This Research Aims To Provide Effective Mitigation Solutions To Deal With This Natural Crisis. The Research Shall Talk About The Causes Of These Wildfires And The Challenges Involved, And Measures That Should Be Considered To Control These. Another Major Objective Is To Provide Sustainable, Cost Effective And Efficient Solutions.)

Author: Balaji Uplanchwar | Varun Garule | Sneha Shinde | Ranjan Kumar | Snehal Tijore

Area of research: Computer Engineering

Organic Fertilizers Are Fundamental To Maintaining Soil Fertility And Enhancing Crop Productivity In Organic Farming Systems. Unlike Synthetic Inputs, Organic Amendments Such As Compost, Vermicompost, Farmyard Manure (FYM), Green Manures, And Biofertilizers Not Only Supply Essential Nutrients But Also Improve The Physical, Chemical, And Biological Properties Of The Soil. This Research Investigates The Impact Of These Organic Inputs On Key Soil Health Indicators—including Microbial Activity, Organic Matter Content, And Nutrient Availability—and Their Correlation With Crop Yield Performance. These Findings Indicate That Treatments Involving Vermicompost And FYM Significantly Enhance Soil Organic Carbon, Available Nitrogen, Microbial Biomass, And Plant Growth Compared To Control Plots. Supporting Literature Emphasizes The Long-term Benefits Of Organic Fertilizers, Including Improved Soil Structure, PH Balance, Water Retention, And Biodiversity. Additionally, The Integration Of Microbial Inoculants Like Biofertilizers Further Optimizes Nutrient Cycling And Plant Health. Beyond Productivity Gains, Organic Fertilizers Contribute To Climate Resilience And Environmental Conservation, Aligning With Global Goals For Sustainable Agriculture. This Study Underscores The Importance Of Site-specific Organic Fertility Management Strategies To Maximize Agricultural Output While Preserving Ecological Integrity.

Author: Kumar Patil | Mahesh Manolikar | Mayuri Bhujbal | Misba Pathan

Area of research: Computer Engineering

Cocopeat, Derived From Coir Pith, Has Emerged As A Sustainable Growing Medium In Soilless Farming Due To Its Excellent Water Retention, Aeration, And Eco-friendly Nature. It Provides A Stable Structure For Plant Roots, Reducing The Need For Excessive Watering While Preventing Soil-borne Diseases. However, Its High Lignin And Cellulose Content Slows Decomposition, Limiting Microbial Activity And Natural Nutrient Release. Since Cocopeat Alone Lacks Essential Nutrients For Long-term Plant Growth, It Is Often Enriched With Organic Amendments Like Compost, Vermicompost, Or Biofertilizers. These Additions Enhance Its Nutrient Profile, Promote Microbial Activity, And Improve Overall Plant Health. Beyond Agriculture, Cocopeat Plays A Crucial Role In Sustainability. Processing Coir Pith Into Cocopeat Reduces Waste From The Coconut Industry And Minimizes Environmental Pollution. Additionally, It Serves As An Eco-friendly Alternative To Peat Moss, Helping To Preserve Peatlands And Reduce Carbon Emissions. With Applications In Hydroponics, Greenhouse Farming, And Urban Agriculture, Cocopeat Is Becoming A Key Component Of Modern, Sustainable Farming. However, To Maximize Its Benefits, Proper Supplementation With Organic Matter And Nutrients Is Essential To Support Healthy Plant Growth And High-yield Production.

Author: Kishor Khandagle | Kiran Kawale | Shweta Kedari | Sakshi Pawar | Mohit Shitre

Area of research: Computer Engineering

Traditional Methods For Handling Plastic Waste Are Struggling To Keep Up With The Increasing Environmental Crisis. Machine Learning And Artificial Intelligence (AI) Can Revolutionize Waste Management By Automating Sorting, Predicting Waste Trends, And Optimizing Recycling Processes. This Article Explores How AI And ML Can Make Our Planet Cleaner And More Sustainable, Addressing The Pressing Environmental Challenge Of Plastic Waste [1]. This Paper Explores How Artificial Intelligence And Machine Learning (ML) Are Revolutionizing Recycling By Improving Waste Classification And Efficiency. AI-powered Systems, Using GPU-driven Image Processing Techniques, Accurately Identify And Categorize Waste Types, Reducing Human Intervention And Increasing The Accuracy And Speed Of Waste Segregation, Thereby Promoting Sustainable Waste Management. AI And ML Are Revolutionizing Plastic Waste Management By Making Recycling Smarter, Reducing Inefficiencies, And Predicting Waste Trends. Well-trained AI Models Can Accurately Classify Waste Into Organic Or Recyclable, Enhancing Efficiency And Sustainability. Future Research Should Focus On Expanding These Models To Handle Diverse Waste Types And Integrating IoT Devices For Real-time Waste Monitoring And Management [2].

Author: Sneha Shetfale | Kavy Changela | Kabir Dhondutatya | Asmita Ghalme

Area of research: Computer Engineering

Hunger Continues To Plague Millions Globally, Also The Most Pressing Challenge Of The 21st Century, Disproportionately Affecting Developing Nations. India Is Ranking 105th In The Global Hunger Index Despite Producing Sufficient Food To Feed Its Population. This Paradox Stems From Unequal Distribution, Inefficiencies In The Food Supply Chain, And Extensive Food Wastage. This Paper Proposes An AI-powered Food Redistribution System That Leverages Real-time Data, Machine Learning Algorithms, And Blockchain Technology To Optimize The Collection And Delivery Of Surplus Food. The System Connects Food Donors—such As Restaurants, Supermarkets, Weddings And Events, And Households—with NGOs, Food Banks, And Underserved Communities. By Enabling Predictive Analytics, Smart Routing, And Transparent Tracking, The Model Aims To Significantly Reduce Food Wastage, Address Undernourishment, And Create A Scalable, Tech-driven Approach To Hunger Eradication. The Proposed Framework Offers A Sustainable Solution That Aligns With Global Goals For Zero Hunger And Efficient Resource Utilization.

Author: Tanmay Dharmik | Sankrita Tayade | Abhishek Meshram | Aman Gajage | Sanika Patil

Area of research: Computer Engineering

Nation Building Requires Not Only Visionary Leadership But Also The Collective Energy, Ambition, And Innovation Of Its Youth. As The Most Dynamic And Populous Demographic Segment In Many Nations, Young People Bring Fresh Perspectives, Technological Fluency, And An Unrelenting Drive For Reform [1]. Through Education, Entrepreneurship, Political Engagement, And Civic Activism, Youth Are Reshaping The Contours Of Governance And Sustainable Development [2][3]. This Paper Explores These Strategic Roles And Identifies Barriers Such As Underrepresentation, Unemployment, And Skill Gaps That Constrain Youth Potential. Using An Interdisciplinary Analysis, We Propose Systemic Reforms And Institutional Platforms For Youth Empowerment. A Robust Integration Of Youth Into Development Strategies Is Not Merely Advantageous—it Is Essential For Resilience And National Progress [4][5].

Author: SIDDHESH GORAKH SHELAR | SIDDHI PARAMANAND PATIL | KRISHNA MALLESH JADGE

Area of research: Computer Engineering

Educational Burnout Has Become A Serious Educational Affliction, Impairing Students' General Well-being And Academic Functioning. It Is Defined By Long-term Emotional Exhaustion, A Feeling Of Decreased Effectiveness, And Detachment From Academic Activities (I). This Experience Is Becoming More And More Prominent In Educational Institutions, Especially Higher Education, Where The Pressure To Excel Academically Is At Its Highest Level (II). The Causal Factors For Academic Burnout Are Complex, Involving Excessive Workload, Unrealistic Expectations, Inadequate Support Systems, And Ineffective Time Management (III). These Factors Usually Result In Students Feeling Chronically Stressed, Which May Interfere With Cognitive Functioning, Reduce Motivation, And Prevent Academic Achievement (IV). Furthermore, Academic Burnout May Have Lasting Implications On Mental Health, Manifesting In Anxiety, Depression, And Even Physical Illness (V). In Spite Of The Growing Incidence Of Burnout, It Is Still Under-addressed In Most Academic Institutions (VI). This Paper Discusses The Causes And Effects Of Academic Burnout, As Well As Measures That Can Counteract Its Effects. It Emphasizes The Necessity Of An Integrated Approach That Includes Institutional Support, Proper Coping Strategies, And A Balanced Academic Environment To Minimize The Incidence And Severity Of Burnout Among Students.

Author: Shreya Khobragade | Mr.Prashant Ghadagea | Mr. Omkar Sathe | Mr. Vishvjeet Shirsagar

Area of research: Computer Engineering

Traditional Weather Forecasting Methods Often Fall Short In Delivering Hyperlocal Predictions Crucial For Agriculture, Especially In Rural Areas. Artificial Intelligence (AI) And Machine Learning (ML) Can Transform Weather Forecasting Systems By Providing Precise, Timely, And Localized Predictions. This Paper Explores How AI-based Models Improve Agricultural Outcomes For Rural Farmers By Anticipating Rainfall, Temperature, And Climatic Patterns, Enhancing Decision-making And Crop Planning. A Case Study Approach Demonstrates How AI Tools Reduce Uncertainty And Agricultural Losses While Promoting Data-driven Farming Practices. The Study Highlights The Integration Of AI With IoT, Satellite Data, And Real-time Weather Monitoring Systems To Build A Holistic Weather Advisory Ecosystem For Farmers. Furthermore, The Abstract Outlines The Practical Implementation And Effectiveness Of AI-based Forecasting Models Through A Detailed Case Study In Maharashtra. It Discusses The Role Of Government And Local Participation In Promoting AI Adoption, With Emphasis On Improving Economic Conditions For Smallholder Farmers. The Abstract Also Provides A Snapshot Of The Results, Which Suggest Tangible Improvements In Crop Planning And Yield Due To AI Intervention. These Findings Align With Earlier Studies Indicating Improved Productivity Through Neural Network Models [1].

Author: Sanika Dhanve | Manas Kale | Tejas Phadatare | Sujal Dherange

Area of research: Computer Engineering

Because Of The Internet's Increasing Dependence On Digital Platforms, Cyberthreats Including Malware And Phishing Have Escalated. Many Internet Users Are Still At Risk Despite Developments Because They Are Unaware Of Their Vulnerability. In Addition To Examining Ways To Improve Responsible Digital Behaviour And Encouraging Education And Awareness Campaigns For A Safer Online Environment, This Study Looks At Students' Awareness Of Cyber Security In Higher Education..

Author: Abhishek Ponde | Dipti Kotawadekar | Das Laxmi | Praful Sasane | Piyusha Wankhede

Area of research: Computer Engineering

This Study Examines How Both Urban And Rural Residents View Electric Cars (EVs), With Particular Attention To Infrastructure Accessibility, Budgetary Limitations, Lifestyle Suitability, And EV Technological Awareness. It Seeks To Pinpoint The Particular Difficulties That Each Group Faces And Offer Practical Advice For Raising EV Adoption Rates. Additionally, The Study Seeks To Comprehend Obstacles Including Range Anxiety, Inequalities In Charging Infrastructure, The Price Of Vehicles, And False Beliefs On Sustainability And Performance. By Addressing These Problems, Marketing Plans And Legislative Initiatives Will Be Able To Hasten The Switch To Electric Vehicles In A Variety Of Geographical Areas. Through The Promotion Of Cleaner Transportation Options, The Findings Will Support Sustainability And Environmental Initiatives. Increasing The Use Of EVs Will Lessen The Consequences Of Climate Change, Cut Down On Carbon Emissions, And Reduce Reliance On Fossil Fuels.

Author: Vivek Bhogade | Rahul Keche | Rahul Mohite | Gauri Tribhuvan | Prathamesh Dhotre

Area of research: Computer Engineering

The Burgeoning Global Population, Projected To Reach 9.1 Billion By 2050, Necessitates A 70% Increase In Food Production To Meet Rising Demands [1]. Traditional Farming Methods Are Increasingly Inadequate Due To Factors Such As Limited Arable Land And Climate Change. This Paper Examines Modern Agricultural Techniques Aimed At Enhancing Crop Yields Sustainably. Precision Agriculture Employs GPS And IoT Technologies For Optimized Resource Management, Leading To Increased Efficiency [2]. Biotechnological Advancements, Including CRISPR-Cas9, Enable The Development Of Crop Varieties With Improved Traits Like Pest Resistance And Drought Tolerance [3]. Controlled Environment Agriculture (CEA) Methods, Such As Hydroponics, Offer Higher Yields Per Unit Area By Meticulously Managing Environmental Factors [4]. Automation And Robotics Streamline Farming Operations, Addressing Labor Shortages And Enhancing Productivity [5]. Additionally, Artificial Intelligence And Machine Learning Provide Predictive Insights For Crop Management, Further Boosting Yields [6]. Integrating These Technologies Is Essential For Transitioning To More Productive And Sustainable Agricultural Practices.

Author: Atharv Kulkarni | Saurabh Bakare | Ishwari Nalwade | Pratiksha Das | Dhanashri Patil, Pritesh Herwade

Area of research: IT Engineering

Urban Space Management Is A Critical Factor In Sustainable City Development, Influencing Human Activities, Spatial Functionality, And Technological Integration. This Study Explores The Relationship Between Urban Spatial Function Mixture And Individual Activity Spaces, Emphasizing The Impact Of Information Technology On Urban Flows.Drawing From Research On Urban Area Structure Mixing And Human Activity Space, This Study Highlights The Importance Of Urban Structure Blending In Shaping Citizen Activity Patterns And Enhancing Spatial Utilization [1]. The Role Of Information Technology In Transforming Urban Space Flows And Connectivity Further Strengthens The Analysis Of Modern Urban Planning Approaches [2]. Additionally, Insights Into Urban Spatial Function Mixture And Individual Activity Spaces Contribute To Understanding How Functional Integration In Urban Spaces Affects Resident Mobility And Accessibility [3]. By Integrating Spatial Analysis And Technological Advancements, This Study Proposes Innovative Strategies For Optimizing Urban Environments. The Findings Contribute To The Discourse On Smart City Planning, Fostering A Balance Between Functionality, Efficiency, And Human-centric Urban Design.

Author: Ganesh Kanadaje | Sabyasachi Mohapatra | Gauri Patil | Sanmesh Satpute

Area of research: Computer Engineering

The Transformation From Traditional Agriculture To Digital Agriculture Is A Revolutionary Shift Towards Enhanced Productivity, Sustainability, And Economic Returns For Farmers, Particularly In Developing Nations Like India. This Paper Examines The Impediments To The Uptake Of Digital Agriculture, Compares The Role Of Government Policies In Supporting The Transition, And Assesses The Economic Returns For Smallholder Farmers. Drawing On A Comprehensive Review Of The Literature And Empirical Data, This Paper Reports The Key Impediments As High Capital Outlay, Low Digital Literacy, Poor Internet Connectivity, And Weak Regulatory Frameworks As Key Barriers. Employing Interpretive Structural Modelling (ISM), The Paper Offers A Hierarchical Framework Of The Impediments, Identifying "lack Of Supportive Regulations" As A Primary Constraint That Impacts Other Issues, Such As Knowledge Gaps And Small Land Size. Government Schemes, Such As The Digital Agriculture Mission (2021-2025) And Schemes Like The Pradhan Mantri Kisan Samman Nidhi (PM-KISAN), Are Examined For Their Ability To Overcome These Impediments Through Subsidies, Digital Infrastructure, And Extension Services. Economic Returns For The Uptake Of Digital Technologies—precision Agriculture, Internet Of Things (IoT), And Digital Financial Services—lie In The Potential For Enhanced Crop Yields (up To 30% Based On A Number Of Studies), Reduced Input Costs (15-20%), And Enhanced Farmer Revenues (25-29%), As Illustrated Through Case Studies Such As The Banana Value Chain In India. This Paper Concludes That With Challenges Notwithstanding, Policy Interventions And Public-private Sector Partnerships Can Realize Large Economic Returns, As Envisioned By India's Vision To Double Farmer Incomes And Sustainable Agriculture Growth.

Author: Rajlakshmi Kashyap | Tharkeshwari Thombare | Deepak Aher | Pratik Patil | Prathamesh Tondilkar

Area of research: Tax, Economy

The Purpose Of This Study Is To Examine The Indian Tax System In Detail, As Well As How It Affects The Lives Of The Country's Middle Class And Whether It Is Beginning To Become A Burden For Them. Although The Indian Tax System Is Essential For Raising Money, Its Effects On The Middle Class Raise Questions About Economic Justice And Financial Pressure. The Economy's Backbone, The Middle Class, Bears The Combined Weight Of Indirect Taxes (excise Tariffs, GST) And Direct Taxes (income Tax) With Little Respite. They Make Substantial Tax Contributions, Yet Their Social Security Benefits Pale In Comparison To Those Of Lower-income Groups. The Financial Strain On Middle-class Individuals Is Further Increased By High Tax Slabs, Intricate Filing Processes, And Inflationary Pressures. The Gap In Discretionary Income Widens As A Result Of Infrequent Tax Changes To Reflect The Increased Cost Of Living. Furthermore, Their Savings And Purchasing Power Are Greatly Impacted By Indirect Taxes On Necessities.

Author: Sakshi Vijay Kharche | Shubham Maruti Adkar | Ritesh Deepak Deshpande | Rutuja Dongre

Area of research: Information Technology

Sustainable Transportation Planning On College Campuses Is A Critical Aspect Of Creating Environmentally Friendly, Socially Inclusive, And Economically Viable Communities. This Paper Explores The Current State Of Sustainable Transportation On College Campuses, Focusing On The Promotion Of Walking, Bicycling, And Public Transit As Alternatives To Single-occupancy Vehicles. Drawing On Case Studies From Kent State University, The University Of Florida, And Other Institutions, This Research Examines The Opportunities And Challenges In Implementing Sustainable Transportation Policies. The Paper Highlights The Importance Of Infrastructure, Student Attitudes, And Institutional Policies In Fostering A Modal Shift Towards More Sustainable Transportation Options. Recommendations Are Provided For Universities To Enhance Their Transportation Systems, Reduce Environmental Impacts, And Improve The Quality Of Life For Students, Faculty, And Staff.

Author: Uday Jaybhaye | Rahil Mulani | Gayatri Thakar | Atharva Bendhari

Area of research: Computer Engineering

In Order To Minimize Damage, Fire Detection Is A Crucial Component Of Early Warning Systems In Both Urban And Rural Areas. And Quickening Response Times. Traditional Fire Detection Methods Have Limited Environmental Detecting Capabilities And Significant False-positive Rates.flexibility Because They Usually Depend On Manually Designed Features In Image Processing Or Sensor-based Systems. Convolutional Neural Networks This Study Proposes An Improved Fire Detection Method That Is Suited For Real-time Picture Processing Using Convolutional Neural Networks (CNNs). The Recommended Technique Uses A Lightweight Deep CNN Architecture That Can Accurately Distinguish Between Areas That Are Burning And Those That Aren't, In Various Lighting And Background Scenario. A Proprietary Dataset With A Range Of Fire Scenarios Was Used To Train And Evaluate The Model. Performance Metrics Such As Precision, Recall, F1-score, And Detection Time Were Significantly Improved In Comparison To Traditional Methods And Baseline CNN Models. The System's Robust Performance In Real-time Video Streams Makes It Suitable For Use In Surveillance Systems, Drones, And Smart City Applications.

Author: Sakshi Kharche | Saurabh Bakare | Sima Supekar | Gokul Bhor | Shrikrishna Nimbekar

Area of research: Electronics And Telecommunication

This Paper Presents The Design And Construction Of A Smart Wheelchair Prototype That Enhances Mobility And Autonomy For Individuals With Disabilities. The System Integrates Obstacle Detection Using Ultrasonic Sensors And Environmental Interaction Through Hand Gestures And Voice Commands. Designed On An Arduino Platform With Bluetooth Control And Android Interfacing, The System Also Features Patient Monitoring Capabilities, Ensuring Both Mobility And Safety. The Smart Wheelchair Emphasizes Affordability, User- Friendliness, And Adaptability In Varied Environments.

Author: Sulakshna. S .Patil | Shubham Gahininath Mane | Rushikesh Balasaheb Bangar | Vaibhav Bandu Potphode

Area of research: Information Technology

The Increasing Traffic Congestion In Urban Areas Poses A Significant Challenge To Emergency Response Times, Especially For Ambulances, Fire Trucks, And Other Emergency Vehicles. Delays In These Situations Can Be Life-threatening, Making It Crucial To Find Solutions That Can Improve Response Times. This Paper Explores The Development Of A Traffic Control System (TCS) For Ambulance Tracking Using RFID Technology And Adaptive Signal Management, Aimed At Enhancing Emergency Vehicle Navigation Through Congested Areas. The System Utilizes Real-time RFID Tracking To Monitor Ambulance Movements And Adjust Traffic Signals Accordingly, Allowing Ambulances To Move More Efficiently Through Urban Traffic. The Proposed Solution Also Includes An Emergency Mail Notification System For Alerting Relevant Authorities In Case Of Emergencies. Through This System, The Goal Is To Optimize Traffic Flow, Improve Situational Awareness For Ambulance Drivers, And Enhance Safety. The Paper Also Discusses The Risks Associated With The System And Outlines Risk Management Strategies. Overall, The System Aims To Reduce Delays, Improve Emergency Response Times, And Ensure Safer And More Efficient Urban Traffic Management.

Author: S.S.Patil | Devendra Hawaldar | Khushi Raut | Ganesh Nage

Area of research: Information Technology

The Study Suggests A Decentralised Evidence Management System That Uses Distributed Storage And Blockchain Technology To Protect, Authenticate, And Expedite The Lifetime Of Digital Forensic Evidence. This Solution Fixes Flaws That Can Jeopardise Court Proceedings, Such As Tampering, Illegal Access, And Ineffective Evidence Tracking. It Combines The InterPlanetary File System (IPFS) For Off-chain Storage And Employs A Two-tier Blockchain Topology That Divides Static Data From Dynamic Data. By Automating Access Control, Smart Contracts Strengthen Auditability And The Chain Of Custody. The Design Is Tamper-proof And Fault-tolerant, And It Has Secure Interfaces For Judicial And Law Enforcement Stakeholders. The Method Is A Transparent, Safe, And Effective Way To Address Contemporary Digital Forensic Issues Since It Increases Trust, Accountability, And Transparency In The Processing Of Digital Evidence.

Author: Rajlaskhmi K | Sakshi Gaikwad | Abhishek Ponde | Vivek Bhogade | Vikram Chavan

Area of research: Information Technology

Due To Its Immersive And Engaging Learning Experiences, Virtual Reality (VR) Has Become A Game-changing Technology In Education, Improving Student Engagement And Memory. Using A Methodical Evaluation Of Current Research, This Paper Examines Empirical Studies On The Educational Uses Of Virtual Reality. Results Show That VR Allows For Experiential And Spatial Learning, Which Greatly Enhances Learning Results, Especially In STEM Subjects (Mikropoulos& Natsis, 2011; Merchant Et Al., 2014). Additionally, 360° Virtual Reality And Gesture-based Settings Support Embodied Cognition And Situational Awareness (Johnson-Glenberg, 2018;2021; Pirker & Dengel). VR Helps With Inclusive Education In Areas Other Than STEM, Like Helping Children With Autistic Spectrum Disorders (Lorenzo Et Al., 2013) And Encouraging Empathy Through Simulations That Require Perspective-taking (Shin, 2018). However, Obstacles Such As Exorbitant Expenses, Technological Constraints (such Motion Sickness), And Inadequate Training For Instructors Prevent Widespread Implementation (Radianti Et Al., 2020). There Are Still Unanswered Questions About VR's Long-term Cognitive Effects And Scalability In A Variety Of Educational Contexts, Despite The Fact That Its Immediate Advantages Are Widely Known. This Study Ends With Suggestions For Further Research, Highlighting The Necessity Of Pedagogical Integration Techniques, Fair Access, And Standardised Assessment Measures In Order To Fully Realise VR's Educational Potential.

Author: Pranav Kulkarni | Tushar Jadhav | Sanika .S. Shinde | Vedant Chinchulkar | Shruti Rahangdale5

Area of research: Economics

The Relationship Between Malnutrition And Illegal Migration Is A Significant Challenges Faced By People. India Having Huge Population And Actively Take Part In Many Initiatives And Come Up With New Policies To Increase Country's Economic Growth And Development. Undocumented Migrants Increases Their Count Because Of Food Insecurity And Challenges To Living A Quality Life. This May Leads To Double Burden Of Nutrition Both Undernutrition And Overnutrition. The Country Faces A Dual Challenges This May Also Lead People To Illegally Migrate From Country To Country Which Will Be Another Burden For The Country's Economic Growth And Development. Due To Which The Country Could Not Achieve Its Targeted Sustainable Development Goals With The Specific Timing. The Main Idea Of This Paper Could Be How The Problem Of Food Insecurity Can Be Solved And The Policies And Recommendations That The Government Could Initiate To Reduce Illegal Migration.

Author: S. Priyanka

Area of research: Computer Application

The AI-Powered Personal Finance Assistant Is A Novel Mobile Application Crafted To Enhance Personal Financial Management Through Cutting-edge Artificial Intelligence And Automation Technologies. By Incorporating Optical Character Recognition (OCR) For Receipt Analysis, SMS-based Income Detection, And A Natural Language Processing (NLP) Chatbot Powered By NLTK And Naive Bayes, The App Simplifies Expense Monitoring, Budget Creation, And Financial Planning. Developed With React Native And Firebase For Secure, Real-time Data Handling, It Delivers Interactive Visualizations, Customized Budgeting Advice, And Strong User Authentication. The System Reduces Manual Tasks, Improves Precision, And Encourages Financial Responsibility, Serving A Wide Range Of Users, Including Students, Professionals, And Households. Thorough Testing On Emulators And Physical Devices Confirmed Its Dependability, With A Flexible Architecture Designed For Future Upgrades Such As Bank Connectivity And Advanced AI-driven Insights. This Platform Provides Users With A User-friendly, Secure, And Intelligent Tool For Effective Financial Management.

Author: Dr. A.K. Ashfauk Ahamed | S K S Ahamed Shahif

Area of research: Engineering

Fault Identification In Three-phase Induction Motors Is A Critical Aspect Of Industrial Operations, Aimed At Preventing Costly Downtimes And Ensuring Operational Safety. Induction Motors Play A Vital Role In Various Industrial Applications, Making Their Reliability And Efficiency Paramount. Faults Such As Unbalance, Insulation Failure, And Bearing Wear Can Lead To Significant Disruptions, Increased Maintenance Costs, And Safety Hazards If Not Identified And Addressed Promptly. This Paper Presents An Innovative And Efficient System For Fault Detection Andcontinuous Monitoring Of Three-phase Induction Motors, Utilizing A Wireless Sensor Network (WSN).The Proposed System Employs Advanced Wireless Sensors To Monitor Key Parameters That Are Indicative Of Motor Health, Such As Temperature, Vibration, And Current Signatures. These Parameters Are Critical As They Provide Early Warning Signs Of Potential Faults. For Instance, Abnormal Temperature Readings May Indicate Insulation Failure, Unusual Vibration Patterns Could Suggest Bearing Issues, And Irregular Current Signatures Might Point To Unbalance. Data Collected From The Wireless Sensors Is Transmitted Seamlessly To A Central Processing Unit (CPU) For Analysis. The Use Of Wireless Technology Eliminates The Need For Cumbersome Wired Connections, Simplifying The Installation And Maintenance Process. Moreover, The Wireless Setup Allows For Remote Monitoring, Providing Operators With Easy Access To Motor Health Information Regardless Of Their Location. This Capability Is Particularly Beneficial In Industries Where Motors Are Deployed In Hard-to-reach Or Hazardous Environments. The Central Processing Unit Leverages Machine Learning Algorithms To Analyze The Real- Time Data Collected By The Sensors. These Algorithms Are Trained To Detect Patterns Associated With Various Types Of Motor Faults. They Not Only Identify Anomalies In The Data But Also Classify The Specific Fault Type With High Accuracy.

Author: Dr.S.Maniraj | Boopathi P | Naveenkumar K | Bharani K

Area of research: Good And Service Tax

The Rollout Of The Goods And Services Tax (GST) In India Has Had A Drastic Effect On Small And Medium Enterprises (SMEs), Offering Opportunities As Well As Challenges. On The Positive Side, GST Has Streamlined The Tax System By Consolidating Several Indirect Taxes Into One System, Eliminating The Cascading Effect Of Taxes And Allowing SMEs To Avail Input Tax Credit (ITC). This Has Increased Transparency And Made Interstate Commerce Easier, Enabling SMEs To Reach Wider Markets. However, The Added Compliance Requirement In The Form Of Regular Filings And Online Record-keeping Has Increased Costs Of Operation For Most Small Companies. The Implementation Of The Composition Scheme Has Also Eased The Burden On Smaller Units By Providing Lower Tax Rates And Easy Compliance. Still, Issues Like Insufficient Awareness, Digital Adaptation, And Implementation Challenges During The Early Phases Have Been Testing The Waters Of SMEs. In General, Though GST Has Made The Taxation System More Simplified And Competitive For A Few SMEs, Many Others Still Suffer From Compliance Difficulties And Cost Challenges.

Author: Mohamed.R | Dr. M.D. Chinnu

Area of research: Management Studies

This Study Has Attempted To Analyse The Best HR Practices. The Study Is Fully Based On Primary Data And Profile Of The Company. This Study Has Been Organized Into Five Chapters. This First Chapter Includes Three Categories. The First One Is Introduction About The Study, Need And Scope Of The Study. The Introduction Part Explains The Meaning And Definitions Of Best HR Practices. The Final Category Is Review Of Literature The Second Chapter Is Industry Profile Which Includes The Profile Of The Industry. The Third Chapter Is Design Of The Study Which Includes The Objectives, Limitation Of The Study Research Methodology And Statistical Tools Used For The Data Analysis For Analysis Of Data Following Tools Were Used Simple Percentage Analysis, Chi- Square And Correlation. The Fifth Chapter Includes The Findings, Suggestions And Conclusion Of This Study.

Author: Rajadurai P

Area of research: Electronics And Communication Engineering

With The Increasing Need For Effective Healthcare Solutions For The Elderly, Real-time Health Monitoring Has Become Essential. Existing Home-based Healthcare Systems Often Face Limitations Such As Power Dependency And Restricted Monitoring Capabilities. This Paper Proposes The Design And Implementation Of An Arduino-based Health Monitoring System That Measures Key Health Parameters, Including Height, Weight, Body Mass Index (BMI), Body Fat Percentage.To Ensure Uninterrupted Operation, The System Incorporates A Solar Panel For Continuous Power Supply, Making It Suitable For Remote And Off-grid Areas. The Collected Data Can Be Displayed On An Integrated Screen Or Transmitted To A Mobile Application, Enabling Real-time Monitoring By Caregivers And Healthcare Professionals. By Providing Continuous Health Tracking, This System Aims To Improve Elderly Healthcare, Facilitate Early Detection Of Health Issues, And Reduce The Need For Frequent Hospital Visits.

Author: A.Aruna | K.Deepthi | MD.Hatim Moosa | V. Anil Kumar Reddy | M. Charan Teja | G.kejiya

Area of research: Electronics And Communication Engineering

With The Increasing Need For Effective Healthcare Solutions For The Elderly, Real-time Health Monitoring Has Become Essential. Existing Home-based Healthcare Systems Often Face Limitations Such As Power Dependency And Restricted Monitoring Capabilities. This Paper Proposes The Design And Implementation Of An Arduino-based Health Monitoring System That Measures Key Health Parametersheart Rate, Body Temperature, And Oxygen Saturation (SpO2). To Ensure Uninterrupted Operation, The System Incorporates A Solar Panel For Continuous Power Supply, Making It Suitable For Remote And Off-grid Areas. The Collected Data Can Be Displayed On An Integrated Screen Or Transmitted To A Mobile Application, Enabling Real-time Monitoring By Caregivers And Healthcare Professionals. By Providing Continuous Health Tracking, This System Aims To Improve Elderly Healthcare, Facilitate Early Detection Of Health Issues, And Reduce The Need For Frequent Hospital Visits.

Author: Mrs.K.Deepthi | Mrs.A.Aruna | P. Prudhvi Raju | R. Sadhvika | B.Uday kiran | I. Siva Koushik

Area of research: Mechanical Engineering

The Deep Drawing Process Is Widely Used In Manufacturing For Shaping Metal Sheets Into Complex Geometries. This Study Focuses On The Design And Analysis Of A Deep Drawing Die For The Production Of Copper Cups. Copper, Known For Its Excellent Ductility, Thermal Conductivity, And Corrosion Resistance, Presents Unique Challenges During The Deep Drawing Process, Such As Controlling Thinning, Wrinkling, And Tearing. The Design Of The Die Was Optimized To Achieve Precise Dimensional Accuracy, Ensure Uniform Material Flow, And Minimize Defects. Key Parameters, Including Blank Holder Force, Die Clearance, Punch Radius, And Others, Were Carefully Analyzed Using Simulation Software To Predict Material Behavior During Deformation. Important Parameters Were Selected To Analyze Their Effect On Various Machining Parameters Using The Taguchi Design Of Experiment Technique. Finite Element Analysis (FEA) Was Employed To Evaluate Stress Distribution, Strain Rates, And Potential Failure Points In The Copper Blank. The Design Was Carried Out Using CATIA Software And Ansys V15. The Results Showed That Proper Die Design Significantly Influenced The Formability Of The Copper Sheet And The Quality Of The Finished Cup. The Study Highlights Critical Considerations In The Die Design Process And Provides Guidelines For Improving The Efficiency And Reliability Of Deep Drawing Operations For Copper. These Findings Contribute To Enhancing Product Quality And Reducing Production Costs In Industries Utilizing Copper Components.

Author: Mr. Amale D.K | Dr. D. S. Galhe | Prof. Said K.M | Prof. Pawar P.S

Area of research: Information Technology

Protecting Stoner Data And Preventing Unwanted Access Are Crucial In Today's Digital World. Watchwords Can Be Stolen Or Guessed, Therefore Traditional Word- Based Authentication Is No Longer Enough. This Concept Uses The MERN Mound—MongoDB, Express.js, Reply, And Node.js—to Integrate Multi-Factor Authentication (MFA) Into An Online Application. By Requiring Drug Users To Provide Several Pieces Of Verification Before Allowing Access, MFA Improves Security. This Technique Mixes The Stoner's Known (word) And Unknown (OTP) Commodities, Which Are Typically Sent Via SMS, Dispatch, Or An Authenticator App. OTP Generation, Verification, And Stoner Login Are Handled By The Backend (Node.js With Express).

Author: Sneha k | Subasree D | Yuvasri M | Sashitika R | Mrs. iyswarya k

Area of research: Computer Science Engineering

This Project Focuses On The Development Of A Multi- Purpose Military Robot Designed To Enhance Operational Efficiency And Reduce Risks To Human Personnel In Hazardous Environments. The Robot Is Built Around The NodeMCU ESP32 Microcontroller, Which Enables High-speed Data Processing And Wireless Communication Via Built-in Wi-Fi And Bluetooth. Equipped With GPS And GSM Modules, The Robot Supports Real-time Location Tracking And Communication, Critical For Missions In Remote Or Unfamiliar Terrain. Key Sensors, Including Ultrasonic And NPN Sensors, Enable Obstacle Detection And Environmental Monitoring, Allowing The Robot To Navigate Autonomously While Assessing Air Quality And Identifying Potential Threats. A Durable Acrylic Chassis Supports Four DC Motors Controlled By An L293D Motor Driver, Providing Robust Mobility Across Rough Terrains. A Live Video Feed From The Mounted Camera Enhances Remote Surveillance Via A Mobile Application. The System Is Powered By A 12V Battery, Ensuring Prolonged Autonomous Operation. This Robot Exemplifies The Integration Of Modern Robotics, IoT, And Embedded Systems For Defense Applications. Future Enhancements May Include AI-based Path Planning, Sensor Fusion, 5G Communication, And Swarm Coordination For Collaborative Missions. The Robot Stands As A Strategic Asset For Modern Military Operations, Capable Of Executing Reconnaissance, Surveillance, And Logistical Support While Ensuring Personnel Safety In Combat Zones

Author: Pravinkumar Shinde | Swapnil Salve | Vikas Tarange | Aniket Khamka | Prof. Seema Mahalungkar

Area of research: Finance

Financial Performance Refers To The Overall Financial Health Of The Business. Financial Analysts Often Assess The Society's Liquidity, Solvency, Efficiency, Profitability, Operating Efficiency And Financial Stability In Both Short-term And Long-term. The Objective Of The Study Is To Analyze The Financial Statement Of Bill Forge Pvt Ltd., Bangalore During From 2019-20 To 2023-2024. This Study Focuses On Understanding And Analyzing The Financial Performance Of Companies, Particularly Their Ability To Manage Short-term Obligations, Maintain Long-term Stability, And Generate Profits Effectively. It Emphasizes Evaluating Operational Efficiency And Resource Utilization To Determine How Well A Company Creates Value For Its Shareholders While Identifying Growth Opportunities. The Study Depends Mainly On The Secondary Data Namely The Annual Reports Of The Company. Five Years Annual Reports Had Been Collected From The Company. Analytical Research Design Is Used. The Ratio Analysis, Trend Analysis, Common Size Balance Sheet And Comparative Balance Sheet Tools Are Used.It Is Determined That Bill Forge's Strong Position In The Insurance Industry Is Reflected In Its Financial Performance, Which Has Grown And Remained Stable During The Research Period. The Company's Strong Profitability Metrics And Economical Use Of Cash Show That It Has Practiced Sound Financial Management. Bill Forge 's Excellent Financial Strategy And Operational Efficiency Are Shown By Its Capacity To Control Liabilities While Guaranteeing Consistent Returns To Policyholders And Stakeholders. The Company's Sound Financial Standing Puts It In A Strong Position To Meet Its Long-term Obligations And Maintain Its Competitiveness In The Changing The Industry. It Concludes That The Organization Should Improve The Overall Performance Of Company The Management Must Take All Possible Steps To Review And Modify Various Policies, Cash Budgets, Inventory Status By Using Sound Information Management System.

Author: Karthikeyan D | Shivani R

Area of research: Analytical Chemistry

Tartrazine, A Synthetic Lemon-yellow Azo Dye, Is Widely Used In Food And Beverages For Its Appealing Color. This Study Investigates The Presence And Concentration Of Tartrazine In Commonly Available, Yellow-colored Drinks And Sweets. UV-Visible Spectrophotometry Was Employed To Determine The Absorbance Values At The Dye's Maximum Wavelength (427 Nm). Using A Calibration Curve Of Known Tartrazine Concentrations, The Absorbance Of Commercial Food Products Was Analyzed And Compared To Safety Limits Prescribed By Regulatory Standards. Results Showed Several Products Exceeded Safe Levels, Indicating Potential Health Risks From Excessive Consumption.

Author: Siddhika Patil | Dr. Priya Joshi | Poorva Pangavhane | Dhruvi Patel | Anuja Harne

Area of research: Shipping And Logistics

Author: S.sivasubramani | shabana Rahman

Area of research: Management Studies

Cold Chain Logistics Is A Vital Component In Industries Dealing With Temperature-sensitive Products Such As Pharmaceuticals, Frozen Foods, And Chemicals. This Study Explores The Operational And Strategic Importance Of Cold Chain Logistics Using Sarvam Logistics As A Case Study. Employing A Mixed-method Research Approach, The Paper Presents Quantitative And Qualitative Data Collected From 104 Respondents Across Departments Such As Logistics, Quality Control, And Operations. The Study Assesses The Effectiveness Of Cold Chain Logistics In Enhancing Product Safety, Reducing Wastage, And Increasing Customer Satisfaction. It Also Identifies The Major Challenges Faced And Evaluates Technological Interventions That Improve Efficiency And Reliability. The Findings Contribute To A Deeper Understanding Of Cold Chain Logistics And Provide Recommendations To Enhance Its Impact Within Organizations.

Author: Mr.Sanjai P | Ms. Gopika P

Area of research: Management Studies

This Study Explores The Economic Stability And Resilience Of Employees At Roots Industries India Pvt Ltd, A Key Player In The Manufacturing Sector. Employee Well-being Is Increasingly Influenced By Factors Such As Income Variability, Limited Financial Benefits, And Uncertainty Regarding Long-term Job Security. These Challenges Not Only Affect Employees' Personal Lives But Also Have A Direct Impact On Job Satisfaction, Performance, And Retention Rates. The Research Adopts A Systematic Methodology To Identify And Analyze The Key Factors Contributing To Financial Stress Among Employees. Data Is Gathered Through Structured Questionnaires And Interviews, Combined With Secondary Data Analysis. The Objective Is To Evaluate How Well Employees Are Equipped To Manage Economic Pressures And To Propose Practical Strategies For Strengthening Their Financial Resilience. The Findings Aim To Support Organizational Policies That Enhance Employee Welfare, Thereby Contributing To A More Stable And Productive Workforce.

Author: Mr. T. Dinesh kumar | MS. K.Kavitha

Area of research: Management Studies

This Research Explores The Significance Of Working Capital Management In Sustaining Financial Health And Operational Efficiency Within Luker Private Limited. It Aims To Identify The Key Components Of Working Capital—namely Cash, Inventory, Receivables, And Payables—and To Evaluate The Company's Financial Practices Through Statement Analysis. The Study Assesses How Effectively The Organization Balances Its Short-term Assets And Liabilities To Ensure Uninterrupted Business Activities And Enhanced Liquidity. It Also Investigates Potential Improvements In The Company's Working Capital Policies That Can Contribute To Profitability And Resource Optimization.

Author: Mr. Dhanajeyan K | Mrs.K. Kavitha

Area of research: Management Studies

In A Constantly Evolving Business Environment, The Ability To Recognize And Respond To Market Trends Is Crucial For Maintaining Competitiveness And Driving Strategic Growth. This Study Investigates The Influence Of Market Trends On Business Decision-making, With A Focus On Lakshmi Engineering Products In Coimbatore. It Explores How Shifts In Consumer Preferences, Economic Conditions, And Technological Advancements Shape Market Behavior And Business Performance. By Analyzing Real-time And Historical Data, This Research Aims To Uncover Patterns That Guide Product Development, Pricing Strategies, And Marketing Efforts. The Findings Provide Actionable Insights That Can Help Organizations Enhance Customer Engagement, Anticipate Future Changes, And Achieve Long-term Sustainability Through Informed Strategic Planning.

Author: Mr Tarun | Mrs. Shabana Rahman

Area of research: Management Studies

This Project Examines The Impact Of Customer Relationship Management (CRM) On Sales Performance At Bharath Rubber India Limited. The Study Aims To Understand How CRM Practices Influence Customer Satisfaction, Loyalty, And Revenue Generation. Data Was Collected Through Surveys And Interviews With Employees And Customers, Alongside Analysis Of Sales Records. The Results Indicate A Strong Positive Correlation Between Effective CRM Strategies And Improved Sales Outcomes. The Study Highlights The Importance Of Personalized Communication, Customer Support, And Data-driven Engagement In Enhancing Customer Retention And Driving Business Growth.

Author: Brindha Devi P

Area of research: Computer Science And Engineering

Surveillance Cameras Are Becoming More Prevalent Worldwide Thanks To Advancements In Digital Video Technology, But The Sheer Amount Of Footage Generated Makes It Tough For Humans To Analyze In Real-time. Even Manual Efforts Can Lead To Delays In Spotting Events. However, With The Rise Of Machine Learning, Tasks Like Automatically Detecting Violence In Videos Have Become More Feasible. Our Study Delves Into Using Intelligent Networks That Use 3D Convolutions To Understand The Changing Relationships Between People And Objects Over Time, Capturing Both The Spatial And Temporal Aspects Of The Data. We Also Make Use Of A Pre-trained Model For Action Recognition To Enhance The Efficiency And Accuracy Of Violence Detection In Surveillance Videos. To Validate Our Methods, We Assess Them On Various Public Datasets Containing Diverse And Challenging Video Content. Our Experimental Results Show That The Proposed Method Achieves A Substantial Improvement In Detection Performance, Increasing Accuracy From 75% In Existing Systems To 91%. This Demonstrates The Effectiveness Of Our Approach In Handling Complex Real-world Surveillance Scenarios While Maintaining A Lightweight And Efficient Model Architecture Suitable For Real-time Applications.

Author: Er.R.Sivaranjini | S.Sakthishree | M.Nishanthini | R.Anusuya | A.R.Rajashri

Area of research: Management Studies

Corporate Culture, Also Known As Organizational Culture, That Comprises Core Values And Beliefs That Shape An Organization's Behavior, Operations, And Endeavors. That Is, The General Attitude, Personality, And Motivation Or Lack Of The Organization's Workforce. Organizational Culture Reflects The Common Beliefs And Conceptions That Determine The Social And Psychological Atmosphere Of An Organization. Members Are Aware Of The Proper Way To Behave, Dress, And Complete Work In Accordance With The Business Culture. With A Particular Focus On CavinKare Private Limited In Erode, The Study Aims To Investigate How Corporate Culture Affects Employee Job Satisfaction. The Study's Sample Consists Of 120 Individuals’. A Questionnaire Was One Of The Main Sources Of Information Used. Statistical Techniques Like Correlation, Chi-square Analysis, And Basic Percentage Analysis Were Employed To Arrive At The Study's Conclusions. Establishing A Positive Workplace Culture That Fosters Collaboration, Self-reliance, And A Feeling Of Community Among Employees Is Crucial For Maintaining Long-term Performance And Employee Well-being.

Author: Ms Janani R | Ms Kavitha K

Area of research: NA

Pricing Strategies Refers To Act Or Plan Of Price Fixation Which Varies From Time To Time In Such A Manner He/she May Successfully Achieve The Target Of Profit Maximization Or Sales Maximization. The Core Strategies Of Business Enterprise In Marketing Activities Is Product Pricing Which Has An Important Impact On The Market Share, Profit Level And Brand Image Of Enterprise Products. There Are Many Factors That Enterprises Consider In Product Pricing, Are Cost, Customer Demand, Brand Awareness, Market Penetration, Market Trend, Market Development Prospects, Market Competition Environment, Policy And Other Factors, Which Are Important Factors Affecting Enterprise Product Pricing. This Study Explores The Role Of Pricing Strategies In Business Enterprises. This Research Is Done By Both Doctrinal And Non Doctrinal Research Methods. The Data Was Collected From 50 Respondents To Analyze How The Price Is Fixed For An Product And What Are The Strategies Used To Attract The Consumer. This Study Aims To Provide Comprehensive Understanding Of Role Of Pricing Strategies In Business Enterprises.

Author: Roja PI | Dr M.D Chinu

Area of research: Civil Engineering

For Decades, Several Attempts Have Been Made To Create Biaxial Slabs With Hollow Cavities In Order To Reduce The Weight. Bubble Deck Slab Is A Method Of Virtually Eliminating All Concrete From The Tension Zone Of A Slab, Which Is Not Performing Any Structural Function, Thereby Dramatically Reducing Structural Dead Weight. Polypropylene Hollow Spheres Replace The In-effective Concrete In The Centre Of The Slab, Thus Decreasing The Dead Weight And Increasing The Efficiency Of The Floor. By Introducing The Gaps, It Leads To 30 To 50% Lighter Slab Which Reduces The Loads On The Columns, Walls And Foundations, And Of Course Of The Entire Building. This Paper Is To Discuss About The Various Properties Of Bubble Deck Slab.

Author: Yogesh Sharad Patil | Harshal Sanjay Suralkar | Abijit Dilip Rote | Mohammed Awes Mohammed Hussain | Prof.M.D.Patil | Dr.A.A.Malokar

Area of research: Theatre

This Research Paper Delves Into The Performative Journey Of Anton Chekhov’s The Proposal, Focusing On The Transformation Of The Text Into A Live Performance Through An In-depth Exploration Of Character Dynamics And Physical Comedy. The Study Investigates How The Intricacies Of Chekhov’s Language And Structure Are Translated Onto The Floor During Rehearsals And Performance, Emphasizing Actor Preparation, Directorial Vision, And The Physicalization Of Character Relationships. Drawing From Experiential Methods, The Research Also Explores The Role Of Timing, Gestures, And Spatial Choreography In Enhancing Comedic Impact. The Paper Further Examines The Influence Of Technical Elements Such As Music, Lighting, And Costume Design In Shaping Audience Reception. By Merging Textual Analysis With Practice-based Insights, The Paper Aims To Highlight The Complex Interplay Between Script, Actor, And Stage In Bringing Out The Full Theatricality Of Chekhov’s Farcical World. Ultimately, The Study Situates The Proposal Within The Larger Discourse Of Performativity In Classical Theatre, Offering A Reflective Model For Understanding The Embodied Nature Of Performance-making.

Author: Dr. Adish Kumar Verma | Adnan Khurram

Area of research: Mechanical Engineering

The Use Of Renewable Energy Technologies, Especially Solar Power, In Farming Is Drastically Changing The Dynamics Of Farming Practices. Solar Power Remote Operation Technologies In Seed Cultivation Provide A Reliable And Effective Platform For Farming Instead Of Conventional Agriculture. The Use Of Autonomous Cars, Drones, And Remote-control Equipment, Coupled With Solar Energy, Minimizes Environmental Degradation While Maximizing Farm Yield. This Research Paper Delves Into The Evolution And Implementation Of Solar-powered Remote Operation Systems In Seed Cultivation. It Examines The Technological Innovations, Advantages, Limitations, And Future Directions Of This New Technology, Highlighting Its Ability To Transform Sustainable Agricultural Production.

Author: Kunal Wankhade | Ajay Parse | Anjali Ingle | Gayatri Kshirsagar | Pavan Ahire | Dr.Y.A.Kharche

Area of research: Mechanical Engineering

Cross Go-karts, Or Off-road Go-karts, Or Dune Buggies, Are Small Cars Meant For Off-road Use, A Combination Of Recreational Motorsports And Engineering Technology. This Essay Discusses The Basic Principles Behind Their Design, Performance Characteristics, Applications, And Related Safety Measures. The Aim Is To Evaluate Their Usability, Mechanical Designs, And Prospects For The Future In Both Leisure And Utilitarian Use.

Author: Chalwad Pruthviraj Dilip | Tighile Kaustubh Krishna | Panchal Rushikesh Satish | GatadeShriprasad Anil | Bhosale Shravani Sharad | Prof. Bidve Mangesh Angadrao

Area of research: Human Resource

Practices In Human Resource Development (HRD) Are Essential For Raising Employee Work Satisfaction. Essential HRD Procedures, Such As Training And Development Plans, Guarantee Ongoing Professional Development And Skill Improvement, Which Increases Workers' Self-assurance And Role-specific Competence. The Main Aim Of This Study Is To Analyse The Study On Human Resources Development Practices On Job Satisfaction In Quess Corp Limited, Coimbatore. Descriptive Research Methods And Convenience Sampling Techniques Were Used For The Study. Primary Data And Secondary Data Have Been Used In The Study. Simple Percentage Analysis, Chi-square Analysis, Correlation, And One-way ANOVA Analysis Have Been Applied In This Study To Reach The Findings Of The Study.It Is Suggested That Regular Constructive Comments, Along With Fair And Transparent Performance Evaluation Standards, Help Create A Favourable Impression Of The Appraisal Process. It Concluded That Employee Job Happiness Is Also Highly Impacted By Sufficient Performance-based Awards And Recognition, Strong Career Development Opportunities, And Ongoing Education. As A Result, Businesses Must Concentrate On Enhancing These HRD Procedures To Keep Their Employees Happy And Engaged, Which Can Enhance Organisational Performance.

Author: Ms.V. Deepthi | Ms.K. Kavitha

Area of research: Chennai

Entrepreneurship And The Strategic Management Of Startups Play A Fundamental Role In Modern Economic Growth, Acting As Key Drivers Of Innovation And Employment. This Research Adopts A Multidimensional Lens To Explore How Entrepreneurship Intersects With Economic, Social, Technological, And Managerial Aspects. It Highlights The Ways Entrepreneurial Ventures Accelerate Market Expansion, Stimulate Innovation, And Contribute To Societal Advancement. The Study Also Underscores The Significance Of Public Policy, Investment, And Digital Transformation In Determining The Success And Resilience Of Startups, Offering Valuable Insights For Fostering A Sustainable Entrepreneurial Ecosystem.

Author: Vinisha . V | Dr.M.D.Chinnu

Area of research: Environmental Engineering

Conventional Methods For Treating Wastewater Can Be Pretty Energy-hungry And Often Fall Short When It Comes To Getting Rid Of Nutrients And Pollutants. That's Where Microalgae-based Systems Come Into Play, Offering A Greener Alternative For Wastewater Treatment, Biomass Production, And Oxygen Generation. This Study Dives Into How Effective These Microalgae Systems Can Be At Cleaning Up Wastewater While Also Generating Biomass And Oxygen. The Findings Reveal That Microalgae Can Eliminate As Much As 90% Of Nitrogen And Phosphorus From Wastewater, All While Producing Biomass At A Decent Rate. The Research Showcases How Viable Microalgae-based Systems Are For Sustainable Wastewater Treatment And Biomass Production, And It Points Out Their Potential For Scaling Up And Fitting Into Current Wastewater Treatment Setups. Additionally, This Study Looks Into How Microalgae Can Be Integrated Into Wastewater Treatment Systems, Highlighting Their Knack For Removing Pollutants Like Nitrogen, Phosphorus, And Heavy Metals Through Bioremediation Processes.

Author: Baby Suruthi.N | Sathiesh Kumar.T | Karthikeyan.M

Area of research: E- Commerce

Artificial Intelligence (AI) Is A Large Subject Of Computer Science To The Development Of Intelligence Computers Capable Of Doing Task That Would Typically Need Human Intelligence. AI Programming Focuses On Three Cognitive Process, Learning, Reasoning, And Self – Correlation. Many E- Commerce Firms Today Employe Artificial Intelligence To Better Understand Their Customers And Meet Their Expectations. Machine Learning, The Most Popular Subject Of AI Technology, Can Make Sense Of All The Data That Online Stores Collect And Use It To Provide Insights That Improve Customer Experience, Streamline Internal Business Operations And Combat Fraud. This Paper Basically Aims To Identify Some Key Digital Of AI In E- Commerce By Reviewing Research Articles From Various Sources. The Study Conducted That AI Based On Digital E Commerce Improving The Efficiency. The Are Investing More And More With Coming Time To Help Their Business To Grow And Boom In The Recent Years.

Author: Sivasri.V | Dr. Chinnu

Area of research: Computer Science

Road Accidents Are A Major Cause Of Fatalities Worldwide, With Delayed Emergency Response Being A Critical Factor In The Loss Of Lives. Traditional Accident Detection Methods Rely On Manual Reporting, Witness Intervention, Or Emergency Calls, Often Leading To Significant Delays In Providing Medical Assistance And Managing Traffic Congestion. Additionally, Existing Traffic Management Systems Lack The Capability To Automatically Detect Accidents In Real Time And Optimize Emergency Response Routes, Further Exacerbating The Issue. As A Result, There Is An Urgent Need For An Intelligent System That Can Detect Accidents Instantly, Assess Their Severity, And Ensure A Swift Emergency Response. This Project Proposes A Smart Traffic Accident Detection And Automated Emergency Response System Using Deep Learning-based Object Detection Techniques. The System Employs The YOLO (You Only Look Once) Algorithm, A State-of-the-art Object Detection Model, To Analyse Real-time Traffic Camera Footage And Identify Accidents With High Accuracy. Once An Accident Is Detected, The System Evaluates Vehicle Damage To Determine Crash Severity And Automatically Sends Alerts, Including Accident Location And Vehicle Information, To Emergency Responders, Hospitals, And Traffic Control Centers. By Automating Accident Detection And Response, This System Significantly Reduces The Delay In Medical Assistance, Improving Survival Rates And Enhancing Traffic Management Efficiency. By Integrating Artificial Intelligence, Computer Vision, And Real-time Monitoring, The Proposed System Contributes To Road Safety And Supports Smart City Initiatives. The Automated Nature Of The System Ensures Faster Decision-making, Minimizes Human Intervention, And Enhances Overall Emergency Response Effectiveness. Future Enhancements Could Include GPS-based Route Optimization, Vehicle-to-infrastructure (V2I) Communication, And AI-driven Predictive Analytics To Further Improve Accident Prevention And Road Safety.

Author: Alaagammai.S | Cauvery.R | Deepika.S | Kiruthika.K | Banu Priya.M

Area of research: Computer Science

The Secure And Efficient Management Of Criminal Records Is Fundamental To The Functioning Of Contemporary Law Enforcement Agencies. Traditional Approaches, Often Reliant On Paper-based Documentation Or Disjointed Digital Systems, Frequently Lack Consistency, Robust Access Control, And Mechanisms For Maintaining Verifiable Audit Trails. These Limitations Compromise Both The Integrity And Reliability Of Critical Data. In Response, CaseVault: A Secure Investigation And Criminal Record Management System Has Been Developed As A Centralized, Role-specific Platform Designed To Ensure Secure And Structured Handling Of Investigative Records. The System Facilitates Controlled Access To Sensitive Data Based On Designated User Roles, Employing Multi-factor Authentication Methods Such As Badge Identification And Biometric Hash-based Verification. A Dynamic User Interface Ensures That Permissions Are Enforced Appropriately, Distinguishing Between Viewing And Editing Capabilities. CaseVault Is Designed With A Modular Architecture, Supporting Backend Technologies Such As Node.js Or Django To Accommodate Varying Deployment Requirements. It Incorporates Cryptographic Hashing To Ensure Data Immutability And Safeguard Against Unauthorized Alterations. Additionally, The Interface Promotes Usability Through Streamlined Workflows For Record Entry And Retrieval, With Future Enhancements Planned For Features Such As Automated Case Summarization And Inter-departmental Messaging. Through Its Focus On Security, Adaptability, And Operational Efficiency, CaseVault Represents A Forward-looking Solution For Digital Criminal Record And Investigation Management.

Author: Gourav D | Nikita V | Aakriti Y

Area of research: Information Technology

The Project Presents An Innovative Solution For Runway Inspection Utilizing An AI-Robo T Ttttt Equipped With An Optical Camera. The Challenges Faced By Current Methods Of Foreign Object Debris (FOD) Detection On Airport Runways, Such As Radar And Stationary Cameras, Due To High False Positive Rates. The System Employs An ESP32 Microcontroller To Provide Real-time Notifications To The Ground Station In The Event Of Detecting Foreign Objects On The Runway. The Integration Of Robot Technology Aims To Enhance Runway Safety And Improve Efficiency In Airport Operations. Testing Different Machines To Make Sure They Work Well In All Kinds Of Weather. The Paper Introduces A Novel Approach Using Unmanned Aerial Vehicles (UAVs) Equipped With RGB Cameras And AI Detectors Trained Using Deep Learning Methods To Detect FOD On Runways. Remove The Unwanted Debris On Runway Using AI Robot And Automatically Identify The Object.

Author: Nilofernisha N | Rithikasri K | Srinikedan M

Area of research: Information Technology

Mali Basundi Centre Is A Digital Transformation Initiative For Traditional Dairy Businesses Focusing On Promoting And Selling Local Dairy Products, Especially Basundi, Through An Integrated E-commerce Platform. The System Is Developed Using Flask, MongoDB, And Front-end Technologies Such As HTML, CSS, And JavaScript. Key Modules Include User Management, Order Processing, Admin/staff Control Panels, Low-stock Alerts, And Integrated Payment Solutions. The Project Combines Technology With Regional Entrepreneurship To Create A Sustainable, Farmer-first Dairy Ecosystem.

Author: Amey Bhatlavande | Shambhu Mali | Onkar Khatake | Atharv Chakor

Area of research: Computer Science And Engineering

Trash, Commonly Referred To As Discarded Materials Or Waste, Includes Items And Substances No Longer Deemed Useful Or Valuable. Improper Waste Management Contributes To Environmental Issues Such As Pollution, Ecosystem Disruption, And Health Hazards Due To The Release Of Harmful Substances. Existing Waste Management Systems Face Significant Challenges In Sorting, Disposal, And Efficiency, Particularly In Rapidly Urbanizing Areas Where The Volume And Complexity Of Waste Streams Are Increasing. To Address These Challenges, An Innovative Solution Leverages Advanced Technologies Like Convolutional Neural Networks (CNNs) And Temporal Convolutional Networks (TCNs). CNNs Are Leveraged For Their Exceptional Ability To Analyze Images, Enabling Precise Classification Of Various Waste Types, Such As Biodegradable, Recyclable, And Hazardous Materials. This Ensures Accurate Segregation At The Source, Minimizing Contamination Between Waste Streams. Complementing This, TCNs Are Employed To Process Time-series Data, Allowing The System To Detect And Adapt To Dynamic Changes In Waste Patterns And Volumes. These Capabilities Enable Real-time Detection Of Waste And Intelligent Segregation, Significantly Reducing Manual Intervention And Human Error. These Cutting-edge Methods Enable Precise Trash Classification, Real-time Waste Detection, And Intelligent Segregation, Forming The Core Of A Next-generation Waste Management System. A Municipality Web App Serves As The Central Hub For Monitoring And Decision-making, Streamlining Waste Management Operations And Promoting Sustainable Practices. By Automating And Optimizing Waste-handling Processes, This Solution Enhances Efficiency, Minimizes Human Error, And Fosters Environmental Consciousness. This Transformative Initiative Is Designed To Revolutionize Urban Waste Management, Paving The Way For Smarter, Cleaner Cities And Contributing To A More Sustainable Future.

Author: Dr.Mohana.S | Fariya Rahmath | Dharshni.B | Gayathri Devy.S | Chaarubhala.S

Area of research: Civil Engineering

This Study Investigates The Influence Of Building Height, Seismic Zones, And Soil Types On The Structural Behavior Of Building Frames, Focusing On Maximum Node Displacement, Shear Forces, And Bending Moments. The Analysis Reveals That As The Building Height Increases, The Maximum Node Displacements And Beam End Forces (shear And Bending Moment) Also Increase, Particularly In Soft And Medium Soil Strata. Across Seismic Zones II, III, And IV, The Percentage Variation In Maximum Node Displacements Remains Nearly Consistent, With Hard Soil Strata Exhibiting The Least Displacements Compared To Soft Soil. Notably, In Seismic Zone IV (Model-3), No Significant Variation In Node Displacement Was Observed Across Different Soil Types. Similarly, Shear Forces And Bending Moments Decrease In Hard Soil Compared To Soft Soil, With The Lowest Values Recorded In Hard Strata For Seismic Zones II, III, And IV. However, In Seismic Zone IV (Model-3), Both Shear Forces And Bending Moments Remain Unaffected By Soil Type. The Findings Highlight The Critical Role Of Soil-structure Interaction In Seismic Performance, Emphasizing That Hard Soil Conditions Generally Lead To Reduced Structural Responses. These Insights Can Aid In Optimizing Seismic Design Strategies For Multi-story Buildings In Varying Seismic Zones.

Author: Md Khushru Parwej | Prof. Ajay Verma

Area of research: Civil Engineering

This Paper Deals With Review Of Earlier Published Research Papers On Cold Formed Steel I Beams. Selected Papers Covering Area Of Study Like Sections, Its Various Buckling Modes Along With Analysis Done By Different Methods And Software’s Viz. ANSYS, ABAQUS, THINWALL, CUFSM Etc. This Paper Also Deals With The Review Of Research Papers Showing Properties Of Cold Formed Steel Beams. At The End, Literature Gap Found In Research Paper Is Also Been Pointed Out.

Author: Dr. A. A. Malokar | Dr.A.W.Kharche | Pratik V. Tayde | Rushikesh G. Wagh | Saurav Ahiraro | Nitesh Mali | Yogesh Patil

Area of research: Management Studies

Working Capital Management Is Concerned With The Decisions Which Are Related With The Current Assets And Current Liabilities. It Means, It Concerned With Day-to-day Management Activities. The Key Factor, Which Is Use To Differentiate Long Term Financial Management And Short Term Financial Management, Is The Timing Of Cash. The Objective Of The Study Is To Analyze The Working Capital Analysis Of Gangotri Textiles Limited, Coimbatore. The Sample Period Of The Study Is 2019-2020 To 2023-2024. Analytical Research Design Has Been Used. Financial Statement Of The Company Has Been Used As Secondary Data. Ratio Analysis, Trend Analysis And Statement Showing Changes In Working Capital Have Been Applied As Statistical Tool To Reach The Findings Of The Study. It Is Found That The Result Of Debtor Turnover Ratio Were Increased And Collection Period Decreased In The Year 2023-2024 When Compared To Previous Year 2019-2020 ,it Implies That Payments By Debtor Are Quick Because The Turnover Is High And Collection Period Is Short. It Is Suggested That Liquidity Ratio Here Reflects The Firm Ability To Meet Short Term Current Obligation. An Analysis Of These Ratio Revealed That The Liquidity Position Have Been Satisfactory. It Is Concluded That The Management May Concentrate On Keeping The Working Capital More Scientific Method. Proper Analysis Should Be Made In Increases Of Sales, Sales Level Before Changing Credit Policy Variable, Credit Policy Helps To Retained Its Old Customer And Create New Customer By Coming Them Away From Competitors.

Author: Ms.P.Tharani | Ms.Shabana Rahamn

Area of research: Management Studies

An Examination Of Roots Cast Private Ltd.'s Working Capital Management In Coimbatore (2019–2024) The Flow Of Money In Several Forms That Support A Business's Daily Operations Is Referred To As Working Capital. Materials, Stores, Fuel, Semi-finished And Finished Items (including Work-in-progress And By-products), Cash On Hand, And The Net Worth Of Various Debtors Are All Considered To Be Part Of Working Capital, According To The Annual Survey Of Industries. Managing Current Assets And Liabilities To Prevent Financial Bottlenecks Is A Key Component Of Effective Working Capital Management.The Purpose Of This Study Is To Investigate The Working Capital Management Practices Of Roots Cast Private Ltd. In Coimbatore Throughout The 2019–2020 To 2023–2024 Timeframe. The Study Uses Secondary Data From The Company's Financial Records And Takes An Analytical Research Technique. The Data Was Evaluated Using Tools Like Trend Analysis, Ratio Analysis, And The Working Capital Change Schedule. According To The Findings, The Working Capital Turnover Ratio Rose Between 2020 And 2021 But Fell In The Years That Followed. This Pattern Implies That Increased Investment Levels Were A Result Of The Creditors' Liquidation At That Time.The Management Of The Business Must Adopt More Proactive And Effective Working Capital Procedures To Handle These Swings. Maintaining Smooth Business Operations Depends On Locating And Fixing Operational Problems. In The End, The Study's Conclusions Provide Useful Advice To Improve The Business's Working Capital Management. Over Time, Increased Effectiveness In This Area Can Benefit The Business And Its Stakeholders By Improving Overall Performance, Profitability, And Financial Stability.

Author: Mr.K.Jeeva | Ms.R.Shivani

Area of research: Management Studies

Efficient Cargo Handling Forms The Foundation Of Port Performance And Directly Influences National And Global Trade Logistics. At V.O. Chidambaranar Port Authority, Thoothukudi, Operational Inefficiencies In Cargo Handling Have Led To Rising Vessel Turnaround Times, Port Congestion, And Diminished Productivity. This Paper Examines The Root Causes Contributing To These Inefficiencies, Including Outdated Infrastructure, Manual Handling Processes, Workforce-related Challenges, And Poor Interdepartmental Coordination. The Study Employs Both Qualitative And Quantitative Methods, Incorporating Primary Data Collected From Port Stakeholders And Secondary Performance Metrics. Results From Correlation And Chi-square Analysis Indicate A Strong Relationship Between Cargo Handling Practices And Operational Delays. Strategic Recommendations Are Provided To Address These Challenges Through Automation, Workforce Development, Digital Transformation, And Policy Reform. This Research Offers Actionable Insights For Port Authorities And Policymakers To Improve Port Efficiency And Support India’s Goal Of Becoming A Leading Global Logistics Hub.

Author: Mr. I vivek anand | Ms R. shivani

Area of research: Management Studies

This Study Investigates The Part Of Personalization In Dispatch Marketing And Its Effect On Client Engagement, With A Focus On Infognana Results, Coimbatore. Dispatch Marketing Remains A Important Tool Due To Its Direct And Cost-effective Nature. A Sample Of 390 Repliers Was Surveyed Using A Structured Questionnaire, And Data Was Anatomized Through Descriptive Statistics, Chi-square Tests, Correlation, And One- Way ANOVA. The Findings Reveal A Significant Relationship Between Gender And Preferences For Substantiated Dispatch Content. The Study Highlights That Constantly Delivering Acclimatized And Applicable Content Enhances Client Engagement, Satisfaction, And Brand Fidelity. It Concludes That Substantiated Dispatch Marketing Is A Critical Strategy For Fostering Strong Client Connections And Driving Long- Term Success In The Digital Frugality.

Author: Mr. P. Elanthendral | Ms. K. Kavitha

Area of research: Management Studies

Social Media Has Transformed The Way Businesses Interact With Their Consumers, Offering Real-time Engagement And Brand Visibility Across Digital Platforms. It Plays A Critical Role In Enhancing Brand Equity By Fostering Brand Awareness, Loyalty, And Perceived Value Among Customers. In An Increasingly Competitive Market, The Ability To Engage With Customers Through Well-crafted Social Media Strategies Has Become Essential For Sustaining Brand Relevance. This Study Explores The Effectiveness Of Social Media In Enhancing Brand Equity, Focusing On Infognana Solutions, Coimbatore—a Digital Services Company Operating In A Dynamic Technological Environment. A Structured Questionnaire Was Administered To 120 Respondents To Collect Primary Data On User Perception Of Social Media Content, Platform Engagement, And Brand Recognition. Descriptive Statistics, Chi-square Tests, Correlation, Regression, And ANOVA Were Applied To Analyze The Data And Evaluate The Influence Of Various Social Media Elements On Customer Behavior And Brand Sentiment. The Findings Indicate That Diverse Content Formats, Timely Interactions, Audience-relevant Posts, And Strategic Platform Selection Significantly Influence Consumer Engagement, Customer Trust, And Overall Brand Perception. Moreover, The Study Highlights How User-generated Content, Interactive Campaigns, And Consistent Brand Messaging Can Foster Deeper Emotional Connections And Improve Digital Brand Positioning. It Is Also Evident That Responsive Communication And Platform-specific Customization Can Amplify The Reach And Effectiveness Of Marketing Campaigns. The Study Concludes That A Unified, Data-driven Social Media Strategy Is Crucial For Building Sustainable Brand Equity. The Insights Derived From This Research Provide Actionable Guidance For Brands Seeking To Enhance Their Digital Footprint And Strengthen Their Brand Equity Through Effective Social Media Management.

Author: Mr. M. Krishnaprakaash | Ms. S.R. Ramya

Area of research: Management Studies

This Research Explores The Extent Of Brand Awareness That Nippon Paint Has Achieved In The Indian Market, Focusing On Consumer Perception, Brand Recall, And Recognition. Using Both Primary And Secondary Data, The Study Examines How Nippon Paint Is Perceived Across Urban And Semi-urban Demographics. The Results Reveal Strong Urban Brand Recognition, With Areas For Improvement In Outreach And Consumer Education. The Study Highlights The Need For Targeted Marketing Strategies, Digital Outreach, And Increased Visibility In Rural Areas To Maintain And Grow The Brand's Market Share.

Author: Mr. A. Abinesh | Ms. Dr.C. Meera

Area of research: CSE

As Cloud Computing Becomes Increasingly Integral To Modern Data Management And Communication, Ensuring Secure And Fine-grained Access Control Remains A Pressing Challenge. This Paper Proposes A Novel Framework That Enhances Cloud Communication Security By Integrating Blockchain-assisted Ciphertext-Policy Decentralized Attribute-Based Encryption (CP-DABE). The Proposed Model Leverages The Decentralized Nature Of Blockchain To Eliminate Reliance On A Single Trusted Authority, Thus Enhancing Trust, Auditability, And Resistance To Key Escrow And Collusion Attacks. CP-DABE Enables Fine-grained Access Control Based On User Attributes, While Blockchain Ensures Transparent And Tamper-proof Management Of Attribute Authorities And Access Policies. Our Solution Supports Scalable, Decentralized Key Distribution, And Secure Data Sharing In Dynamic Cloud Environments. Experimental Analysis Demonstrates That The System Achieves Robust Security With Minimal Performance Overhead, Making It A Practical And Effective Approach For Secure, Decentralized Cloud Communication.

Author: R.Gopi | Jayasanthiya S | Kamali R | Kaviya B

Area of research: Computer Science And Engineering

In The Competitive Landscape Of E-commerce, Providing Personalized Product Recommendations Is A Vital Yet Complex Challenge. Traditional Recommendation Systems Often Fail To Adapt To The Rapidly Changing Preferences Of Users, Resulting In Generic Suggestions And Diminished Customer Satisfaction. This Project Proposes A Cutting-edge Solution Leveraging Deep Reinforcement Learning (DRL) To Deliver Real-time, Personalized Recommendations. The System Dynamically Classifies Users Based On Interaction Patterns And Purchase Behavior, Allowing For Continual Learning And Adjustment To Individual Preferences. It Incorporates Techniques To Address Issues Such As Sparse Data And Recommendation Biases, Ensuring Fairness, Robustness, And Relevance. This Research Contributes To The Evolution Of Recommendation Technologies By Enhancing User Engagement, Increasing Customer Loyalty, And Setting New Standards For Personalized Digital Experiences In E-commerce Platforms.

Author: Mohamed Suhail J | Nilavanan S A | Dhanush B | Kailashwaran R | Dr.Palanivel S

Area of research: Computer Science & Engineering

Traditional Voting In Colleges Often Faces Issues Like Delays, Errors, And Lack Of Transparency. To Solve These Problems, This Project Introduces A Blockchain-based Online Voting System Designed For United Institute Of Technology. The System Aims To Make Elections More Secure, Trustworthy, And Efficient.We Began By Analyzing The Drawbacks Of Existing Methods, Including Poor Security And Difficulty In Verifying Results. After Researching Multiple Blockchain Platforms, Ethereum Was Chosen For Its Smart Contract Capabilities And Strong Community Support. The Platform Allows Each Vote To Be Securely Recorded On A Tamper-proof Digital Ledger.Our System Ensures Only Eligible Users Can Vote, And Results Are Instantly Available Without Any Manual Counting. Through Surveys And Technical Comparisons, We Focused On User Privacy, System Scalability, And Transparency. The Final Product Not Only Meets The Needs Of Our Institution But Also Has Potential To Be Used In Other Organizations, Offering A Reliable Step Toward Digital Governance.

Author: Dr.P.Sindhuja | Mr.Charan | Ms.Swathi | Mr.Maheshwaran

Area of research: Computer Science And Engineering

In The Digital Marketplace, Online Reviews Are A Key Factor In Shaping Consumer Decisions. However, The Prevalence Of Fake Reviews—either Overly Positive Or Deceptively Negative—threatens The Reliability Of Such Feedback. This Paper Presents A Machine Learning-based Solution Integrated Into A Web-based System For Detecting Fake Product Reviews. The System Accepts A Product URL, Scrapes Associated Reviews, Processes The Text Using Natural Language Processing (NLP) Techniques, And Classifies Them As Genuine Or Fake Using A Trained Model. We Implemented The System Using React.js For The Frontend, FastAPI For The Backend, And A Scikit-learn-based Random Forest Classifier. The Model Achieved 91% Accuracy On A Labeled Dataset, Demonstrating The Practical Feasibility Of Such A System For Real-world Deployment.

Author: Prabu P Asst.Prof. | Sreeram R, Naveen K | Tamilkumaran V | Sarvesh

Area of research: Information Technology

This Paper Explores The Development Of An Engaging And User-friendly Online Shopping Platform Designed Specifically For School Supplies And Costume Accessories. The Main Goal Is To Address The Limitations Of Traditional Retail By Offering A Streamlined, Visually Appealing, And Accessible Online Store. Developed Using HTML, CSS, JavaScript, PHP, And MySQL, The Website Includes Features Such As Real-time Inventory Updates, Secure Payment Processing, And Customer Feedback Integration. By Enhancing The Overall Shopping Experience And Improving Operational Efficiency, The Platform Is Designed To Boost Customer Satisfaction And Help Businesses Succeed In The Digital Marketplace.

Author: Mr. Avadhoot Ravindra Shinde | Mr. Akash Anil Janrao | Mr. Harshad Anand Salunkhe | Mr. Om Sopan Salunkhe | Mr. Rohit Sanjay Gadhave

Area of research: Cyber Security

The Growing Sophistication Of Cybersecurity Threats Requires A Proactive And Automated Security Strategy. This Paper Discusses The Convergence Of Security Information And Event Management (SIEM) And Security Orchestration, Automation, And Response (SOAR) To Improve Threat Detection, Investigation, And Response. PfSense, An Open-source Firewall With Suricata IDS/IPS, Produces Security Logs That Are Shipped Using Filebeat To Elasticsearch, Creating A Centralized Log Repository For Real-time Threat Analysis. Kibana Is Also Used To Offer Visualization And Dashboards For Incident Tracking. Shuffle SOAR Is Also Used To Automate Incident Response Through The Correlation Of Alerts And The Execution Of Pre-defined Workflows Using PfSense REST API For Automating And Controlling Firewall Rules. The Integration Enhances Accuracy In Detection, Minimizes Response Time, And Improves Operational Efficiency, Thus Enhancing An Organization's Cybersecurity Posture. The Suggested Architecture Takes Advantage Of PfSense As A Firewall And Suricata As An IDS/IPS To Detect Threats By Monitoring Network Traffic. Security Events And Logs Are Sent Through Filebeat To Elasticsearch, Providing Centralized Log Aggregation, Indexing, And Real-time Searching, Enterprises And Organizations Looking For Cost-effective But Efficient Security Automation.

Author: D.Bhavana | S. Mohammad Salman | Puli Sujith | Sameer Raj

Area of research: Well-Being Management, Human-Computer Interaction, AI In Productivity

Modern Life Requires Individuals To Maintain A Balance Among Numerous Responsibilities, Often Resulting In Exhaustion And Diminished Productivity. Frequent Transitions Between Multiple Applications And Digital Tools Further Deplete Motivation And Hinder Organizational Efficiency. This Project Introduces An Integrated Mobile Application, Wabble, Which Combines Four Core Functions: Task Management, Goal Tracking, Well-being Monitoring, And Resource Organization Within A Unified Platform. By Employing Artificial Intelligence (AI), Wabble Offers Personalized User Experiences Designed To Enhance Intrinsic Motivation And Support Individual Autonomy In Daily Management. Developed Using Frameworks Such As FlutterFlow And Firebase And Informed By Datasets Derived From Productivity Research, The Application Provides Customized Task Prioritization And Resource Recommendations. Evaluation Results Indicate An Efficiency Improvement Of Up To 25 Percent And A User Approval Rating Of 85 Percent. These Findings Suggest That Wabble Outperforms Conventional, Fragmented Tools By Reducing Cognitive Load And Increasing User Engagement. This Scalable Solution Is Intended For Students, Professionals, And Other Users Seeking An Effective And Streamlined Approach To Time And Resource Management.

Author: Dr. R. J. Aarthi | Marjiba | Meet Dudhat | Jagadeesh Mandadi | Nithin Reddy

Area of research: CSE

Sign Language Is A Visual Mode Of Communication That Uses Hand Gestures And Movements To Convey Meaning, Serving As An Essential Communication Tool For Individuals With Hearing Or Speech Impairments. Despite Its Importance, Many Virtual Platforms Lack The Ability To Recognize And Interpret Sign Language, Creating Significant Barriers To Inclusivity In Digital Communication. As Virtual Meetings Become More Integral To Professional And Personal Communication, The Need For Inclusivity In These Spaces Has Grown. Current Meeting Platforms Often Fail To Accommodate Users Who Rely On Sign Language, Limiting Their Ability To Engage Fully In Discussions. This Project Aims To Address This Gap By Integrating Real-time Sign Language Recognition Into Video Calling Platforms, Ensuring Accessibility For All Participants. The Proposed System Employs The Video Calling Vision Transformer (VCViT) To Accurately Recognize Word-level Hand Gestures. The System Captures Live Video Streams From Participants, Focusing On Hand Gestures, And Translates Them Into Text Or Speech In Real Time. By Utilizing Advanced Video Processing Techniques, Gesture Segmentation, And The VCViT's Ability To Model Spatial Relationships, The System Achieves High Recognition Accuracy, Adapting To Different Signing Styles And Environmental Conditions. This Project Strives To Create Inclusive Virtual Meeting Environments, Allowing Hearing-impaired Individuals To Actively Participate In Discussions. Through AI-driven Solutions, It Ensures Seamless Communication, Fosters Equity, And Enhances Digital Collaboration.

Author: R.Archana | Vikram S | Venkadesh R | Balamurugan S | Vihineshwaran M

Area of research: CSE

The Stock Market Is One Of The Most Active Research Areas, And Predicting Its Nature Is An Epic Necessity Nowadays. Predicting The Stock Market Is Quite Challenging, And It Requires Intensive Study Of The Pattern Of Data. Specific Statistical Models And Artificially Intelligent Algorithms Are Needed To Meet This Challenge And Arrive At An Appropriate Solution. Various Machine Learning And Deep Learning Algorithms Can Make A Firm Prediction With Minimised Error Possibilities. The Artificial Neural Network (ANN) Or Deep Feedforward Neural Network And The Convolutional Neural Network (CNN) Are The Two Network Models That Have Been Used Extensively To Predict The Stock Market Prices. The Models Have Been Used To Predict Upcoming Days' Data Values From The Last Few Days' Data Values. This Process Keeps On Repeating Recursively As Long As The Dataset Is Valid. An Endeavour Has Been Taken To Optimise This Prediction Using Deep Learning, And It Has Given Substantial Results. The ANN Model Achieved An Accuracy Of 97.66%, Whereas The CNN Model Achieved An Accuracy Of 98.92%. The CNN Model Used 2‐D Histograms Generated Out Of The Quantised Dataset Within A Particular Time Frame, And Prediction Is Made On That Data. This Approach Has Not Been Implemented Earlier For The Analysis Of Such Datasets. As A Case Study, The Model Has Been Tested On The Recent COVID‐19 Pandemic, Which Caused A Sudden Downfall Of The Stock Market. The Results Obtained From This Study Was Decent Enough As It Produced An Accuracy Of 91%.

Author: Deepika B | Karikalan T | Nandhakumaran S | Nikilan M | Prasanth D

Area of research: CSE

Visual Impairment Poses Significant Challenges To The Daily Lives And Mobility Of Millions Of People Worldwide. In This Context, Smart Assistive Technologies Have Gained Momentum In Improving The Independence And Quality Of Life For The Blind And Visually Impaired. They Are Having Difficulty Navigating Their Everyday Lives Because They Are Unable To Detect Impediments In Their Environment, And One Of Their Biggest Challenges Is Identifying People. Other Than Automation, Object Detection Is Used In A Variety Of Applications That Have Yet To Be Fully Explored. This Project Includes One Such Application That Employs Detection To Assist Visually Impaired Individuals In Identifying Items Ahead Of Them For Safe Navigation, As Well As A Face Recognition System With Aural Output That May Help Visually Impaired People Recognize Known And Unfamiliar People And Currency Identification(Denomination). Speakers Would Provide Them With Voice-based Assistance. We Used A Deep Learning-based Convolutional Neural Network (CNN) To Identify And Recognize Humans And Objects In The Environment In This Study. The Faster Region Convolution Neural Network Technique Processes And Classifies The Picture Taken By The Camera. The Audio Jockey Receives The Detected Picture As An Audio Input. As A Result, This Model Aids Visually Impaired Persons In A More Comfortable Manner Than White Canes.

Author: Rathna V | Subashree K | Yogeshwari D | Mrs. R. Archana

Area of research: Information Technology

This Project Presents The Design And Implementation Of A Secure Door Lock Access Control System Using RFID (Radio Frequency Identification) Technology. RFID Enables Wireless, Automatic Identification Of Users Through Tags Containing Unique Identifiers. The System Comprises Three Core Components: An RFID Tag, An RFID Reader, And A Back-end Application With A Database. Passive RFID Tags Are Used Due To Their Compact Size, Low Cost, And Battery-free Operation, Making Them Ideal For Access Control Systems. When A User Presents Their RFID Tag Near The Reader, The System Verifies The Credentials Against Stored Data And Grants Access If Authorized. It Also Maintains A Log Of User Check-in And Check-out Times To Ensure Accountability And Traceability. This RFID-based System Offers A Fast, Secure, And Convenient Method For Access Management, Suitable For Applications In Offices, Institutions, And Restricted Areas Requiring Controlled Entry. The Project Highlights The Practical Benefits Of Integrating RFID With Digital Security Systems.

Author: Shinde Prerna Kailas | Dabhade Ujjayani Uday | Kumbhar Rutuja Venkat | Bolegave Bhakti Ramdas

Area of research: Computer Science And Engineering

Earthquakes Are Among The Most Devastating Natural Disasters, Causing Extensive Damage To Infrastructure And Posing Severe Threats To Human Life. Predicting The Level Of Building Damage Resulting From An Earthquake Can Greatly Enhance Disaster Preparedness And Response. This Project Explores The Use Of Advanced Deep Learning Techniques—such As CNN, BLSTM, GBNN, TabNet, TabPFN, And NODE—for Classifying Damage Levels Into Three Categories: Low, Medium, And High. Using The 2015 Nepal Earthquake Dataset, Which Includes Over 25,000 Records And 39 Features, Our Models Demonstrate Improved Performance, Achieving Accuracy Rates Of Over 74.5% In Some Cases. These Findings Highlight The Potential Of Deep Learning For Effective Structural Damage Assessment.

Author: Arulselvam C | Gowtham R | Pranavvarshan AT | Rajadurai P | Dr.R.Ragupathy

Area of research: Computer Science And Engineering

Paralyzed Patients Often Face Significant Challenges In Communicating Their Needs And Receiving Timely Medical Attention. This Project Presents An IoT-based Healthcare System Designed To Enhance Patient Care And Monitoring. The System Incorporates RFID-enabled Buttons That Allow Patients To Send Signals For Assistance, Which Are Processed By A Microcontroller And Transmitted Via The Internet Of Things (IoT). Healthcare Providers And Caregivers Receive Instant Mobile Notifications, Ensuring A Swift Response To Patient Requests. Additionally, The System Can Monitor Vital Signs (if Sensors Are Integrated), Further Improving Medical Supervision. This Solution Enhances Patient Autonomy, Reduces Caregiver Workload, And Ensures Continuous Healthcare Support, Making It Highly Beneficial In Both Hospitals And Home Care Settings.

Author: Saranya AK | RAMYA K | SHEELA R | RITHIKA K

Area of research: Civil Engineering

In This Research We Studied The Research Papers On Utilization Of Eggshell Powder, Copper Slag, And Sugarcane Bagasse In Concrete Mixtures To Enhance Sustainability And Performance. Eggshell Powder, A Waste Byproduct, Is Examined For Its Pozzolanic Properties, Potentially Improving Concrete Strength. Copper Slag, An Industrial Waste, Is Explored As A Partial Replacement For Conventional Aggregates, Aiming To Enhance Durability And Reduce Environmental Impact. Additionally, Sugarcane Bagasse, An Agricultural Residue, Is Investigated For Its Potential As A Supplementary Material To Enhance The Concrete's Thermal And Insulation Properties. After Studying This Research Papers, The Feasibility And Effectiveness Of Incorporating Eggshell Powder, Copper Slag, And Sugarcane Bagasse In Concrete, Providing A Sustainable Pathway For Construction Practices. These Findings Contribute To The Growing Body Of Knowledge On Eco-friendly Construction Materials And To Create More Resilient And Environmentally Conscious Concrete Structures.

Author: Dr. A. S. Moon | Kaunen Chhaware | Harshad Chouhan | Diksha Bhagat | Md. Faizan Hussain | Vicky Landage | Sanjiv Kurzekar

Area of research: Information Technology

"WebSecureity," The Security Web Application, Is A Thorough Cybersecurity Solution Designed To Provide Friendly, Secure Products Including Vulnerability Assessments, Penetration Testing, Safe Web Development, And Ethical Hacking Instruction. The Front End Of The Platform Was Constructed Using HTML, CSS, JavaScript; PHP Handled Backend Logic; And MySQL Was Used For Data Management. It Has Admin Control Panels, Dynamic Service Request Tools, WhatsApp Based Communication, And Protection Against Well Known Threats Including SQL Injection And XSS. The Incentive, Studies, Execution, And Assessment Of The System Are Given In This Article.

Author: Amey Bhatlavande | Suraj Bhandare | Suraj Adsul | Abhijit Gidde | Sumit Das

Area of research: UNEMPLOYMENT

Unemployment Remains A Pressing Socio-economic And Legal Issue In India, Despite Various Constitutional Promises And Policy Frameworks Aimed At Securing The Right To Work. This Research, Using The Doctrinal Methodology, Explores The Legal Dimensions Of Unemployment In India. It Examines Constitutional Provisions, Statutory Laws, Key Judicial Interpretations, And Employment Schemes Like MGNREGA And PMKVY. The Study Identifies Critical Gaps In The Implementation And Enforceability Of Employment-related

Author: VENGATESHWARAN T

Area of research: Computer Science

Predicting Academic Achievement Using Machine Learning Plays A Significant Role In Shaping A Student’s Future Educational And Career Opportunities. In This Study, We Propose A Machine Learning-based System To Predict Student Academic Achievement Using Performance Scores And Socioeconomic Data. The Project Utilizes Three Datasets: The Students Performance Dataset (subject-wise Scores: Math, Reading, Writing), A Scholarship Dataset (reflecting Financial And Social Backgrounds), And A Tamil Nadu Colleges Dataset (for Regional Mapping And Future Integration). After Preprocessing And Balancing The Data Using SMOTE, We Developed And Evaluated Several Machine Learning Models—Support Vector Machine (SVM), Random Forest, Decision Tree, And Boost. Among Them, The SVM Model Delivered The Highest Accuracy And Was Deployed Through A Flask-based Web Application. Explainable AI Techniques, Including SHAP And LIME, Were Utilized To Interpret Feature Importance And Ensure Model Transparency. This System Provides A Data-driven Approach To Identify Struggling Students Early And Offer Personalized Academic Support.

Author: Elakkiya T

Area of research: Information Technology

This Project Is A School Website Designed To Be An Easy-to-use Platform For Students, Parents, Teachers, And Visitors. It's Built With Key Sections In The Navigation Bar, Like Home, Academics, About Us, Gallery, Admission, Contact Us, And Feedback, Making It Simple For Users To Find Important Information About The School. The Home Page Gives An Introduction To The School And Highlights Recent Updates, While The Academics Section Covers Details About Courses, Faculty, And Academic Programs. In The About Us Section, Users Can Learn About The School’s History, Vision, And Mission. The Gallery Showcases Images From School Events, And The Admission Page Provides All The Details And Forms Needed For Prospective Students. The Contact Us Page Offers The School’s Contact Information And Includes A Feedback Form To Encourage Communication From The School Community. The Website Is Designed With A User-friendly Interface Using HTML, CSS, JavaScript, And PHP, Ensuring Interactive Elements And Dynamic Content. This Project’s Goal Is To Improve Communication, Provide Transparency, And Make It Easier For Everyone To Access Important School Information, Making It A Modern And Efficient Way To Engage With The School.

Author: Shraddha Avinash Parakhe | Mr. Vishvajeet Dagadu Babar | Mr. Dipak Ankush Vhargar | Atharv Prafulla Deshmukh | Sandip Siddheshwar wagaj

Area of research: Consumer Behaviour Analysis

Advertisement Plays A Crucial Role In Influencing Consumer Behavior, As It Has The Potential To Shape Consumer Perceptions. Advertising Is A Marketing Approach That Is Used To Raise Product Awareness In The Minds Of Consumers So That They Can Make A Purchasing Choice. Marketers Use Mass Communication Tactics Such As Advertising, Sales Promotion, And Public Relations. Advertising In The Mass Media Has An Impact On Audiences, But Television Has The Broadest Reach And Is The Most Powerful Medium For Advertising. Advertising Has The Power To Impact People’s Attitudes, Lifestyles, And, In The Long Term, The Culture Of A Country. In Order To Succeed In A Consumer’s Market Dominated By Advertising, A Corporation Might Boost The Brand Of Their Product By Engaging In Promotional Activities. The Study Is Also Analyzing The Importance Of Advertisement As Well As Its Negative Effect On The Public. The Purpose Of The Study Is To Understand The Consumer Buying Behavior Pattern.

Author: Mahalakshmi M | Dr.MD.Chinnu

Area of research: Innovation And Industrial Policies

Innovation Plays A Crucial Role In Driving Economic Growth, Competitiveness, And Industrial Transformation. Industrial Policy, Which Encompasses Government Interventions To Shape The Structure And Performance Of Industries, Can Significantly Influence The Innovation Landscape. This Study Explores The Relationship Between Innovation And Industrial Policy, Analyzing How Various Policy Tools Such As Subsidies, Tax Incentives, Research And Development (R&D) Support, And Regulatory Framework Affect Technological Progress And Industrial Competitiveness. The Research Examines Historical And Contemporary Examples Of Industrial Policies Across Different Economies, Assessing Their Impact On Innovation Ecosystem.it Also Considers The Role Of Public Private Partnership, Intellectual Property Rights, And Workforce Development In Fostering An Environment Conducive To Innovation. Through A Comparative Analysis, The Study Highlights Best Practices And Potential Challenges Associated With Industrial Policy Implementation.

Author: M.Nisha | Dr.M.D.Chinnu

Area of research: International Trade And Technology Integration

The Technology Has Become A Crucial Driver In Reducing Trade Barriers By Enhancing Efficiency, Lower Costs, And Improving Global Market Access. This Paper Explores The Transformative Role Of Digital Advancement In Overcoming Traditional And Non –tariff Trade Barriers. Key Technological Contributions Include Platforms, Block Chain, For Secure Transaction, Artificial Intelligence For Supply Chain Optimization, And Fintech Solutions For Seamless Cross-border Payments. Additionally, Digital Trade Agreements And Smart Customs Clearance Systems Streamline Regulatory Processes, Reducing Data And Increasing Transparency. Despite Challenges Such As Cyber Security Risks And Digital Divides, Technology Continues To Revolutionize Global Trade, Making Markets More Accessible And Inclusive. This Study Highlights The Significant Of Technology Integration In Fostering Economic Growth And Global Trade Expansion.

Author: S Dhanalakshmi | Dr.MD.Chinnu

Area of research: Economic And Consumer Behavior

This Paper Explores The Intricate Relationship Between Income Inequality And Consumer Spending Patterns, Shedding Light On The Dynamic Nature Of Consumer Behaviour In Response To Fluctuations In Personal Finance. Income, Being A Central Determinant Of An Individual’s Purchasing Power, Plays A Pivotal Role In Shaping The Consumption Patterns And Preferences Of Consumers. A Widening Gap In Income Distribution Leads To Distinct Consumption Behaviors Across Different Income Groups, With Higher-income Individuals Tending To Spend More On Luxury Goods And Services While Lower-income Individuals Prioritize Basic Necessities, Ultimately Shaping Market Dynamics And Influencing Overall Economic Activity Due To Differing Propensities To Consume Across Income Levels. This Study Examines How Income Inequality Significantly Patterns, Highlighting That A Wider Income Gap Leads To Distinct Consumption Behaviors Between High And Low-income Groups. This Study Examines The Complex Relationship Between Consumer Buying Habits And Income Inequality, Illuminating How Consumers' Conduct Is Dynamic In Reaction To Changes In Personal Financial Circumstances.

Author: Manoharan Prajana | Dr. M.D.Chinnu

Area of research: Labour Market Discrimination

Particularly In Emerging Nations The Informal Labour Market Is Vital To The Creation Of Jobs. Nonetheless Gender Differences In Daily Pay Continue To Be A Barrier To Social Advancement And Economic Equality. This Study Examines The Gender Pay Gap In Informal Work By Examining Discriminatory Practices, Educational Inequalities, And Occupational Segregation. Because Of Their Lack Of Legal Protection, Social Standards And Restricted Access To Resources, Women In The Informal Sector Frequently Earn Less Money. They Are Paid Substantially Less Than Their Male Counterparts, Even If They Do Comparable Or Even Greater Workloads. In Order To Overcome These Gaps, The Study Also Emphasizes The Effectiveness Of Governmental Interventions Like Wage Controls, Social Security Benefits, And Skill Development Initiatives.

Author: A. Hemasri | Dr. M. D. Chinnu

Area of research: Social Science Research

Street Vending Plays A Crucial Role In The Informal Economy, Providing Goods And Services To Urban Populations, Especially In Developing Countries. Despite Their Significance, Street Vendors Face Numerous Challenges That Affect Their Livelihoods And Ability To Operate Successfully. This Research Aims To Explore And Analyse The Various Challenges Faced By Street Vendors, Focusing On Issues Such As Legal And Regulatory Barriers, Lack Of Access To Financial Resources, Social Stigma, Competition With Organized Retail, And Poor Infrastructure. The Research Highlights The Financial Instability Of Vendors, Particularly In The Context Of Informal Work, And Identifies Potential Solutions To Address These Challenges, Such As Policy Reforms, Infrastructure Improvements, And Support For Vendor Association.

Author: KARTHIKA S | Dr.M.D.CHINNU

Area of research: Economics And Consumer Behaviour

The Rising Cost Of Healthcare Has Become A Significant Economic Challenge, Affecting Both Individuals And National Economies. As Healthcare Expenditures Increase, They Place A Financial Burden On Governments, Businesses, And Households, Potentially Reducing Disposable Income, Limiting Investment In Other Sectors, And Exacerbating Income Inequality. High Healthcare Costs Also Impact Labour Productivity, As Individuals And Businesses Struggle With Medical Expenses And Insurance Premiums. Additionally, Excessive Spending On Healthcare Can Strain Public Finances, Diverting Resources From Infrastructure, Education, And Other Essential Services. This Paper Examines The Key Drivers Of Rising Healthcare Costs, Their Implications For Economic Growth, And Potential Policy Solutions To Balance Affordability, Quality, And Accessibility In Healthcare Systems. Addressing These Challenges Is Crucial For Ensuring Sustainable Economic Development And Improving Overall Societal Well-being.

Author: Kumuthavalli.MS | Dr. M D .Chinnu

Area of research: MBA

The Healthcare Sector Operates In A Complex Financial Environment Where Efficient Management Of Assets And Liabilities Is Crucial For Sustainability And Growth. This Study Focuses On Asset And Liability Management (ALM) Practices Within The Healthcare Industry, With A Specific Reference To Fortis Hospital, Bangalore. The Objective Is To Evaluate How Well The Hospital Manages Its Financial Resources To Ensure Liquidity, Profitability, And Long-term Financial Stability. Through A Detailed Analysis Of Financial Statements, Asset Utilization, Debt Structure, And Risk Management Practices, The Project Aims To Understand The Strategic Role Of ALM In Enhancing Operational Efficiency. The Study Also Highlights The Unique Financial Challenges Faced By Healthcare Institutions And Proposes Recommendations For Improving ALM Frameworks To Better Align With Organizational Goals And Patient Care Outcomes. This Research Serves As A Valuable Resource For Healthcare Administrators And Financial Managers Striving To Optimize Financial Performance In A Dynamic And Resource-intensive Environment.

Author: TUSHAR JANARDHAN | Ms. R. Suma

Area of research: Marketing And Digital Marketing Research

Social Media Campaigns Are Integral To Modern Marketing, Allowing Businesses To Reach Vast Audiences And Drive Sales. This Study Investigates The Effectiveness Of Social Media Campaigns With A Focus On Infognana Solutions, Coimbatore. Using Descriptive Research Methods And A Sample Size Of 120 Respondents, The Study Analyzes The Influence Of Content Quality, Audience Segmentation, And Platform Selection On Sales Performance. Findings Show That Strategic Alignment Of Content And Targeted Delivery Across Platforms Enhances Engagement, Customer Acquisition, And Revenue. The Study Offers Insights To Optimize Social Media Marketing Strategies For Better Business Performance.

Author: Mr. D. Nithishpravin | Ms. S.R. Ramya

Area of research: Engineering

The Project Of 5G Communication Systems Demands High-performance Antenna Designs That Cater To Increasing Data Rates, Enhanced Network Capacity, And Reduced Latency. In Particular, The Sub-6 GHz Spectrum, Covering Frequencies Below 6 GHz, Has Emerged As A Critical Band For Early 5G Deployments Due To Its Favorable Propagation Characteristics, Support For Wide-area Coverage, And The Availability Of Existing Infrastructure. However, Designing Efficient Antennas For This Spectrum That Can Offer Wideband Performance, High Gain, And Support For Multiple-input Multiple-output (MIMO) Configurations Poses Significant Challenges. This Paper Presents The Design And Analysis Of A Metamaterial-inspired Wideband MIMO Antenna For Sub-6 GHz 5G Communications, Offering An Innovative Solution To These Challenges. The Proposed Antenna Utilizes A Metamaterial-inspired Structure To Achieve A Compact Size While Enhancing Its Operational Bandwidth And Radiation Efficiency. The Integration Of Metamaterial Elements Enables The Antenna To Achieve A Wide Impedance Bandwidth, Spanning 3.3 GHz To 5.5 GHz, Covering The N77/n78/n79 5G Frequency Bands. The Design Comprises A Compact MIMO Configuration With Four Closely Spaced Antenna Elements Arranged To Minimize Mutual Coupling And Enhance Spatial Diversity, Which Is Crucial For Improving Channel Capacity In 5G Networks.

Author: Mr. R.Logarasu | Rajadurai N | Sathish S | Sivaneshwaran M

Area of research: Information Technology

The Shree Swami Samarth Cloth Collection Is A Spiritually Inspired Clothing Line That Blends Devotion With Tradition. Rooted In The Divine Aura Of Shree Swami Samarth Maharaj Of Akkalkot, This Collection Is Designed To Reflect Simplicity, Purity, And The Timeless Values He Embodied. Each Piece Is Thoughtfully Crafted To Honor His Legacy—whether Through Traditional Designs, Devotional Motifs, Sacred Inscriptions, Or Earthy, Serene Color Palettes. More Than Just Apparel, This Collection Is A Tribute To A Spiritual Path That Encourages Faith, Strength, And Inner Peace. Ideal For Daily Wear, Spiritual Gatherings, Or Offerings The Shree Swami Samarth Cloth Collection Invites We Are To Carry His Blessings With Them—wherever They Go.

Author: Vidya Wangikar | Reshama Malgonde | Amey Bhatlavande | Shraddha Digole | Shreya Digole

Area of research: Information Technology

Religious And Cultural Traditions Remain An Important Part Of Many People's Lives, Especially In India, Where Rituals Like Weddings, Housewarmings, And Festivals Are Often Guided By A Pandit (priest). But In Today's Fast- Paced And Mobile World, Finding The Right Pandit— Someone Who Speaks Your Language, Understands Your Customs, And Is Available When You Need Them—isn't Always Easy. Panditji Is A Simple, User-friendly Android App Designed To Help People Connect With Qualified Pandits For A Wide Range Of Religious Ceremonies. The App Not Only Makes Booking Easy But Also Helps Users Understand The Rituals Better Through Educational Content. With Features Like Filters, Reviews, Scheduling, And Location-based Search, The App Brings Tradition And Technology Together In A Meaningful Way.

Author: Dnyaneshwar Appa Randave | Vidya Wangikar | Shanitej Sanjay Patil | Rohan Sampat Thorat | Om Ravsaheb Ronge

Area of research: MARKET OPPORTUNITIES FOR THE LAUNCH OF A NEW GAS STOVE

Author: AJIN S.N | Felisiya.M

Area of research: Information Technology

The Currency Converter Is A Web-based Application Designed To Facilitate Real-time Currency Conversion Between Different Global Currencies. It Aims To Simplify The Process Of Converting One Currency Into Another Based On Live Exchange Rates. The Primary Users Of This Application Include Travelers, Business Professionals, Students, And Anyone Involved In International Trade Or Finance. Developed Using PHP, HTML, CSS, And JavaScript, The System Fetches Exchange Rates And Converts Currencies Instantly. The User-friendly Interface Allows Users To Select Currencies, Input Amounts, And Get Immediate Results, All While Ensuring Responsive Design And Minimal Latency.

Author: Dhumal Pranav Dhanraj | Kalme Shivam Sandip | Birajdar Suraj Vishnudas | Bidwe Ganesh Vilas | Mr. Lokare A P

Area of research: Information Technology

This Digital Platform Creates An Effective Communication Channel Between Students And Academic Leaders, Specifically Heads Of Departments (HODs). It Establishes An Environment Of Constant Progress That Raises Educational Standards, Improves Teaching Methods, And Enhances The Complete Student Experience. The Solution Implements An Organized, Evidence-based Methodology For Obtaining, Assessing, And Implementing Student Input To Advance Academic Quality. By Employing Current Technological Solutions Like Modern Web Architecture, Protected Data Storage Systems, And Interactive Data Representation Methods, It Provides An Expandable, Easy-to-use, And Efficient Feedback Management Tool For Schools And Universities. Create A More Adaptive Educational Setting The Platform Successfully Connects Student Viewpoints With Institutional Strategies, Encouraging Cooperative Efforts Toward Achieving Academic Excellence. Through Its Comprehensive Features, It Modernizes Traditional Feedback Mechanisms While Maintaining Security And User Privacy At All Levels. The System's Design Focuses Equally On Functionality And User Experience, Making It An Indispensable Tool For Contemporary Educational Institutions Seeking To Improve Their Learning Environments.

Author: Vidya Wangikar | Akshada Gore | Gayatri Mule | Aditi Patil | Sanjana Upase

Area of research: VHDL

This WorkRandom Access Memory (RAM) Is A Mandatory Component Of Digital System. The RAM Design Aims To Produce Faster, Smaller And Economical System. A Work On This Topic Enable Better Understanding Of Real Time Implementation On Electronic System. This Project Focuses On Designing A Random Access Memory (RAM) Module Using VHDL And Validating Its Functionality Through Simulation With Model Sim. The Objective Is To Develop A Synchronous RAM With Specified Data And Address Widths, Implement It In VHDL, And Verify Its Operation Through A Comprehensive Test Bench.

Author: Abenayasri.S , Kavin Sitharthan.S

Area of research: VLSI TECHNOLOGY

The Miniaturization Of CMOS Results In High Static Power Consumption In Traditional Computer System. Logic-in-memory (LIM) Architecture Based On Emerging Non-volatile Memory (NVM) Can Significantly Reduce Static Power Consumption By Embedding Computing And Logic Functions Into NVM. Magnetic Tunnel Junction (MTJ) Is Considered As One Of The Most Promising Candidates For LIM Circuits Owing To Its High Speed, Nearly Infinite Endurance, And 3D Back-end Integration Technology. This Paper Introduces A Reconfigurable LIM Circuit Integrating Spin Transfer Torque Based MTJs (STT-MTJs). Unlike The Conventional Non-volatile Full-adders (NV-FAs) That Perform The “Sum” And “Co” Operations With Two Sub-circuits, The Proposed Circuit Can Perform Both Operations. Simulation Results Based On 28 Nm CMOS Process Design Kit And A Perpendicular STT-MTJ Compact Model Show That The Proposed NV-FA Has The Advantages Of Small Area And Low Power Consumption.

Author: K.ABINAYA | C.Viveka

Area of research: Computer Science

In The Competitive Retail Industry, Understanding Sales Patterns, Seasonality, And Demand Forecasting Is Crucial For Strategic Planning And Operational Efficiency. This Paper Presents An Interactive And Lightweight Web-based Application, Retail Sales Trend Analyzer, Developed Using Streamlit. The System Ingests Retail Sales Data, Visualizes Trends Using Plotly And Seaborn, Identifies Product Performance, And Performs Time Series Forecasting Using Facebook Prophet. Actionable Business Insights And Downloadable Reports Make It A Practical Tool For Retail Managers, Analysts, And Decision-makers.

Author: Akashkumar V | Thamizharasan N

Area of research: CSE

Generative AI Has Advanced Very Quickly Allowing The Generation Of Realistic Fake Content In Text, Image, And Video Domains That Is Becoming Challenging To Differentiate From Real Content. While There Has Been Some Progress In Developing Detectors That Work Within Specific Modalities To Identify The AI-generated Content, All Of Them Suffer From The Lack Of Exploitation Of Inter-modal Contradiction And Dependencies. In This Survey, The Drawbacks Of Existing Systems Are Described From The Points Of View Of Scalability, Robustness, The Variety Of Datasets Used, And Overall Efficiency. It Then Formulates A New Scheme For A Multimodal Detection Mechanism That Can Detect Text, Image As Well As Videos All At Once. To Improve The Detection Accuracy, Scalability And Use Across Broad Cultural And Language Settings This Framework Utilizes —Efficient Multimodal Models, Cross Modal Consistency Checks, Adversarial Training, And Efficient Architecture. The Proposed System Offsets The Gap Between Standard Approaches And The Innovative Advancement Of Multimodal Generative AI By Providing A Real-time Detection System For Adversarial Signals. It Provides A Unifying Model That Underpins Solid, Context-sensitive Detection Schemes To Protect Society’s Trust While Preventing The Abuse Of Generative AI.

Author: Davis Jacob K | Mukesh M Suthar | Sohara Banu AR

Area of research: ECE

Approximate Computing Has Become An Emerging Technique To Reduce Power Consumption. In Numerous Applications, Multiplication Is A Crucial Operation, Designing It For Approximation Is Effective In Optimizing System Performance. In This Paper, We Propose Low-power FPGA-based Multipliers By Employing The Novel Compressor Designs. Given That The Compressor Is The Primary Unit In The Multiplier, We Introduce Novel Exact And Approximate Compressors With Low-complexity Circuits To Parallels Accumulate The Elements. To Flexibly Configure The Proposed Compressors, A Compressor-based Once-through Structure Is Proposed To 8×8 Multipliers. Two Variants Of The Approximate Multipliers Are Provided With Different Accuracy Hardware Trade-offs. Compared With The Exact Multiplier, The Proposed Approximate Multiplier Reduces Power By 57.90%, Area By 33.80%, And Delay By 24.78%. With A Similar Accuracy Loss, The Proposed Designs Save More Hardware Resources Than Others. In Addition, The Effectiveness Of Approximate Multipliers Is Assessed In Image Sharpening.

Author: D.SATHYA | P.Rajesh Kumar

Area of research: ECE

Multiplexer Is A Basic Block Of Many Processors Or Ready To Use Board Like FPGA’s. This Work Explores Multiplexer Design With Different Technology And Logic Style For Improvement In Performance. Conventional CMOS Technology Is Useful At 45nm And Above Technology Due To Low Power Consumption And Perfect Logic Zero And Logic Transition. Advantage Multiple Gates In FinFET Technology Makes It More Suitable For High-speed Logic Transitions. Use Of FinFET Increases Drive Current And Improves The Circuit Speed At Compromise In Term Of Power. FinFET Technology With Logic Style Improves Power Overhead On IC Per Unit Area. In This Paper, A Multiplexer Is Designed Using 18nm FinFET And Result Are Compared With CMOS Technology For Similar Operating Conditions. Also, FinFET Is Explored With Different Logic Style For The Optimization In Delay And Power Calculations. All The Design And Simulations Are Performed On QCA Designer.

Author: S.SUBASHINI | M.Haritha

Area of research: Computer Science

This Research Paper Investigates The Vital Role Of Accurate Project Cost Estimation And Forecasting Within Diverse Industries, Emphasizing The Integration Of Predictive Analytics Through An Innovative Streamlit Application. As Financial Planning Is Contingent Upon Precise Cost Estimations, This Study Aims To Address Common Challenges Faced By Project Managers And Stakeholders In Estimating Project Expenses Effectively. The Proposed Web Application Offers An Interactive Interface That Facilitates User Input For Various Project Components, Ensuring Accuracy In The Cost Estimation Process. Key Features Include: • Cost Breakdown Analysis: Users Can Explore Detailed Breakdowns Of Costs, Enhancing Transparency And Understanding Of Expense Components. • Visualizations: The Application Integrates Geolocation Mapping And Graphical Representations Of Cost Data, Which Helps Users Visualize Spending Trends And Budget Allocations Effectively. • Report Generation: Automatic Report Generation Provides Stakeholders With Clear, Concise Documentation Of Estimated Costs, Aiding In Informed Decision-making. By Harnessing Predictive Analytics, The Application Enhances The Traditional Cost Estimation Methodology, While Also Allowing For Adjustments Based On Real-time Data Inputs And Predictive Models. This Research Underscores The Significance Of Accurate Cost Estimation, Illustrating How Technology Can Facilitate Improved Project Budgeting And Financial Forecasting. Future Work Will Aim To Incorporate Advanced Analytics Techniques And Real-time Data Integration To Further Refine The Accuracy And Adaptability Of Cost Estimations, Ultimately Contributing To Better Financial Outcomes In Project Management.

Author: Hariprakash K | Akshaya S

Area of research: Information Technology

This Project Centers On Creating An E-commerce Site For A Jewelry Shop. It Aims To Make Online Shopping Better For Customers And Show Off The Shop's Wide Range Of Jewelry. The Site Wants To Offer An Easy-to-use Interface With Features Like Product Groups Full Description Stop-notch Photos, And A Simple Way To Buy. The Goal Is To Improve How People Shop And Display The Store's Items. This Study Outlines How We Built An E- Commerce Site For A Jewelry Store. We Used Java To Make The Backend And Picked MySQL For The Database. The Site Lets Customers Sign Up, Sign In, Look At Items, And Buy Them Online. At The Same Time, The People Running The Site Can Do Stuff Like Update Items And Check On Orders With A Protected Backend. Our Project Is Different Because We Didn't Use PH Instead, We Went With Java To Make Things More Scalable, Modular, And Independent. Plus, We Threw In The Ability To Send Emails Using Gmail App Password For Talking To Customers.

Author: Reshma Malgonde | Pragati Vasekar | Pratiksha Pawar | Namrata Rokade | Supriya Misal

Area of research: Information Technology

Sant Tukaram Maharaj VarkariShikshan Sanstha Website Is Meant To Make Key Information Regarding The Institution's Courses, Admissions, Events, And Faculty Easily Accessible. The Website Will Have Easy Navigation, Mobile Friendliness, And Interactive Features Such As Course Catlogs, Faculty Profiles. It Is Meant To Enhance Communication And Interaction For Students, Faculty, And Prospective. It Will Play A Crucial Role In Bolstering The Sanstha's Vision Of Touching More People And Spreading Its Values Effectively In An Era Of Digitization.

Author: Akash Janrao | Anuradha Waghchaware | Mohini Bhargande | Sandhya Patil | Prachiti Navale

Area of research: Computer Science

Accurate Cost Estimation Plays A Crucial Role In Ensuring Financial Control And Project Success Across Various Domains Such As Construction, Manufacturing, And Software Development. Traditional Methods Are Typically Manual And Error-prone, Leading To Inefficient Budget Planning And Unexpected Cost Overruns. This Paper Proposes A Data-driven Cost Estimation And Budget Optimization System Leveraging Predictive Analytics. The System Categorizes Costs Into Labor, Materials, And Equipment And Forecasts Future Expenses Using Machine Learning Models Trained On Historical Data. Developed Using Python, Streamlit, Scikit-learn, And Data Visualization Libraries, The Proposed Model Ensures Dynamic Updates, Real-time Forecasting, And Automated Reporting In PDF/Excel Formats. This Approach Improves Budgeting Accuracy, Facilitates Transparent Financial Planning, And Supports Informed Decision-making.

Author: Vasanth M | Ms. R. Latha

Area of research: Civil Engineering

This Project Investigates The Impact Of Wind Loads On Hexagonal-shaped High-rise Buildings Using Computational Fluid Dynamics (CFD). With The Growing Trend Of Complex Building Geometries And The Limitations Of Existing Wind Load Standards, The Study Compares Three Structural Forms: A Regular Hexagon, And Hexagonal Structures With Fillet And Chamfered Corners. Using CFD Analysis In ANSYS CFX (k-ε Model), Wind Effects Are Examined At Angles From 0° To 75° In 15° Intervals. Key Parameters Analysed Include Force Coefficients, Drag And Lift Coefficients And Moment Coefficients. The Results Show That Chamfered Corners Experience Significantly Higher Wind-induced Forces And Turbulence, Highlighting The Importance Of Design Modifications To Improve Structural Performance. The Study Emphasises CFD’s Role As A Cost-effective Alternative To Wind Tunnel Testing And Provides Valuable Insights Into Optimising Corner Configurations In Tall Hexagonal Buildings, Based On IS 875-3-2015 Standards.

Author: Raja Babu | Rohit Kumar | Shivam Singh | Siddharth Gautam

Area of research: Computer Science And Engineering

In Modern Urban Areas, Traffic Congestion Is A Significant Issue, Especially During Emergencies. Emergency Vehicles Such As Ambulances And Fire Trucks Often Get Delayed Due To Traffic Signals Not Adapting To Their Presence. This Paper Proposes A Deep Learning-based Solution For Real-time Emergency Vehicle Detection And Dynamic Traffic Light Control To Optimize Traffic Flow. Using Object Detection Algorithms Such As YOLO (You Only Look Once), The System Can Accurately Identify Emergency Vehicles From Surveillance Cameras. The Model Then Communicates With A Traffic Control System To Prioritize Signal Changes, Reducing Response Times. This Solution Enhances The Efficiency Of Emergency Services And Can Potentially Save Lives By Minimizing Delays. The Proposed System Integrates Image Processing, Object Detection, And Intelligent Signal Management, Offering A Smart City Innovation For Traffic Optimization Upon Detecting An Emergency Vehicle, The System Dynamically Communicates With A Microcontroller-based Traffic Light System To Switch Signals In Favor Of The Vehicle’s Direction, Creating A "green Corridor." This Ensures That Emergency Vehicles Pass Intersections Without Delay, Minimizing The Need For Manual Intervention.

Author: Nivetha S | Dr.Gopi | Nivetha S | Keerthana K | Nivetha T

Area of research: Marketing

This Study Investigates Customer Satisfaction With Software Solutions Provided By Strokx Technologies, A Kochi-based IT Firm Specializing In CRM, ERP, Web, Mobile, And AI Applications. The Research Aims To Understand How Well These Solutions Meet Client Expectations In Terms Of Usability, Service Quality, Reliability, And Post-sales Support. Data Was Collected From 52 Customers Using Structured Questionnaires And Analysed Through Percentage Analysis, Weighted Average, And Chi-square Tests. The Findings Reveal High Satisfaction With Product Performance And Support, Particularly In CRM And Android Development Services. However, Issues Such As Occasional Software Glitches, Limited Willingness To Pay For Upgrades, And Moderate Subscription Renewal Intent Indicate Areas Needing Improvement. The Study Applies Models Like TAM, SERVQUAL, And Kano To Identify Gaps And Recommend Strategies To Enhance Customer Experience, Boost Retention, And Drive Long-term Business Growth.

Author: Majitha Nasriya M | Dr KVS Raj

Area of research: Computer Science And Engineering

The Early Identification Of Brain Tumors In Fetus Is Critical For Timely Medical Intervention And Improved Neonatal Outcomes. This Study Presents A Deep Learning-based Approach To Automatically Detect And Classify Brain Tumors In Fetal Ultrasound Images, Aiming To Support Clinicians In Diagnostic Processes. Leveraging The Power Of Convolutional Neural Networks (CNNs), The Proposed Model Analyzes Subtle Patterns And Structural Abnormalities That Are Often Challenging To Discern Through Manual Observation. A Curated Dataset Of Fetal Brain Ultrasound Scans Was Utilized To Train And Validate The Model, Ensuring Robustness And Generalizability. Image Preprocessing Techniques, Including Noise Reduction And Contrast Enhancement, Were Applied To Optimize Feature Extraction. Performance Metrics Such As Accuracy, Sensitivity, And Precision Were Employed To Evaluate The Model's Effectiveness. Results Demonstrate The Model's Potential In Assisting Radiologists By Offering High Detection Accuracy With Minimal False Positives. This Research Underscores The Value Of Deep Learning In Prenatal Care And Highlights Its Application In Enhancing Diagnostic Accuracy For Fetal Neurological Conditions Through Non-invasive Imaging Techniques.

Author: V Gokulakrishnan | Prathiba CS | Harshinidevi G | Mariya Vianney A | Naveena V

Area of research: Inventory And Booking Management System

This Web-based Application Is Developed To Function As An Auditing And Invoicing System For Mahalakshmi Light Decoration And Generator Shop, Ensuring Efficient Order Records Management And Transaction Processes. The System Minimizes The Inefficiencies That Are Normally Present In Traditional Paper-based Auditing By Providing For Automated Generation Of Invoices For Services And Products Of The Shop. It Ensures Precise Recording Of Transactions, Enhancing Operating Transparency And Restricting The Scope For Booking Differences. Besides, It Also Contains A Customer Feedback Module By Which Customers Can Give Their Experience Of Services And Thereby The Shopkeeper Can Improve The Quality Of Service And Customer Satisfaction. Booking Management, Sales Management, And Auditing Have Traditionally Been Time Consuming And Error Prone And Result In Potential Losses In Revenue. All These Problems Are Avoided With This System Because It Automates Invoice Generation And Maintains Correct Real Time Sales Records. All Transactional Data Is Securely Kept In A Database, Allowing The Shopkeeper Instant Access To Facilitate Enhanced Business Tracking And Decision Making.

Author: Mrs. Reshma K. Malgonde | Mr. Amey S. Bhatlavande | Mrs. Vidya S. Wangikar | Gargi H. Badake | Rahi S. Barsawade

Area of research: BRAND AWARENESS

This Study Examines The Impact Of Brand Awareness And Brand Loyalty On Consumer Buying Behaviour With Specific Reference To Life Insurance Corporation (LIC) In Saravanampatti, Coimbatore. It Aims To Understand How Familiarity With The LIC Brand And Customers’ Trust And Attachment Influence Their Purchase Decisions. Primary Data Was Collected Through Structured Questionnaires From Existing And Potential LIC Policyholders. The Research Highlights That Strong Brand Awareness Positively Affects Customer Interest And Consideration, While Brand Loyalty Significantly Drives Repeat Purchases And Long-term Customer Relationships. Statistical Tools Were Used To Analyze Consumer Preferences And Behavioral Patterns. The Findings Suggest That Maintaining High Levels Of Brand Visibility And Customer Satisfaction Is Essential For Sustained Growth In The Insurance Sector. This Study Provides Valuable Insights For LIC To Strategize Its Branding And Customer Engagement Practices In Semi-urban Markets Like Saravanampatti.

Author: GOKUL RAMAN V | Dr. Kalaivani P

Area of research: Computer Science

Landmark Recognition Is A Crucial Task In The Field Of Computer Vision With Applications In Tourism, Navigation, And Cultural Heritage Preservation. This Paper Presents An Approach Utilizing A TensorFlow Hub- Based Deep Learning Model For Landmark Classification. The Model Processes Uploaded Images, Predicts Landmarks, And Provides Geographical Locations With Map Visualization. Our Implementation Is Built Using Streamlit, Offering An Interactive Web Interface For Seamless User Interaction. Additionally, The System Integrates Geolocation Retrieval To Enhance The User Experience By Displaying The Landmark’s Precise Address And Coordinates. The Proposed System Demonstrates The Effectiveness Of Leveraging Deep Learning For Real- World Landmark Detection.

Author: Latha R | Nikhileswarans

Area of research: Management Studies

This Study Evaluates Break-even Analysis And Ratio Analysis Within The Framework Of Financial Performance Management At Simta Machinery Manufacturing Private Limited. The Research Investigates The Organization’s Financial Stability, Profitability, And Operational Efficiency Through These Analytical Tools, Emphasizing Their Impact On Strategic Decision-making. Break-even Analysis Identifies The Sales Volume Needed To Cover Fixed And Variable Costs, Offering Insights Into Cost Control And Pricing Strategies. Meanwhile, Ratio Analysis, Using Metrics Such As Liquidity, Solvency, And Profitability Ratios, Examines The Company's Financial Health And Performance Relative To Industry Benchmarks. Secondary Data, Including Balance Sheets And Audit Reports From The Past Three Years, Forms The Research Basis. The Findings Reveal A Robust Financial Position, With Simta Machinery Demonstrating Strong Liquidity Levels And Conservative Debt Management. The Current Ratio Consistently Exceeds The Standard Benchmark Of 1.5, And The Quick Ratio Shows A Marked Improvement Over Time, Reaching 1.30 In The Most Recent Fiscal Year. Debt Metrics, Such As The Debt-equity Ratio And Debt Ratio, Indicate Minimal Financial Risk, Reflecting A Prudent Financial Strategy. Operational Efficiency Is Evidenced By An Improved Inventory Turnover Ratio And A Reduced Break-even Point, Showcasing Better Inventory Management And Cost Efficiency. Notably, Profitability Metrics Such As The Operating Profit Ratio And Net Profit Ratio Show Significant Recovery In The Latest Year, Underscoring Enhanced Revenue Generation And Cost Optimization. Despite These Strengths, Areas For Improvement Include Receivables Turnover Ratio, Which Suggests Scope For Better Credit And Collection Practices. The Study’s Recommendations Advocate For Advanced Inventory Management Techniques, Streamlined Credit Policies, And Sustained Efforts To Enhance Profitability. Additionally, It Highlights The Importance Of Technology Adoption To Support Data-driven Decision-making And Operational Enhancements. By Leveraging Financial Ratios And Break-even Analysis, This Research Contributes Actionable Insights Into Simta Machinery’s Financial Practices, Aligning Its Strategies With Goals Of Sustainable Growth And Resilience. These Tools Collectively Reinforce The Company’s Ability To Navigate Competitive Market Dynamics And Drive Long-term Success.

Author: SYED IBRAHIM J | Felisiya.M

Area of research: Management Studies

Edship Technologies Is A Forward-thinking EdTech Company Dedicated To Reshaping The Future Of Learning Through Innovative, Tech-driven Solutions. Our Mission Is To Make Quality Education Accessible, Personalized, And Engaging For Learners Of All Ages And Backgrounds. We Design And Develop Intelligent Learning Platforms, Virtual Classrooms, AI-based Tutoring Systems, And Data-driven Educational Tools That Enhance Both Teaching And Learning Experiences. At The Core Of Edship’s Vision Is The Belief That Education Should Be Adaptive, Inclusive, And Future-ready. Our Solutions Harness The Power Of Artificial Intelligence, Machine Learning, And Cloud Technology To Deliver Personalized Content, Track Learner Progress, And Provide Actionable Insights To Educators And Institutions. Whether It's K-12 Education, Higher Education, Or Professional Development, Edship Technologies Empowers Its Users With Scalable, User-friendly, And Impactful Digital Tools. Employee Retention Is A Vital Component Of Organizational Success, Influencing Productivity, Staff Morale, And Overall Performance.

Author: Nandana.K | Dr.Ashokan.C

Area of research: Natural Language Processing

Agriculture Is Key To Global Food Security, And Hence It Is Imperative To Create New Solutions That Cater To The Knowledge Deficits Of Most Farmers—especially In Developing Countries Where Specialist Guidance Is Frequently Not Available. In These Regions, Farmers Normally Turn To Helplines For Crucial Assistance, But High Charges And Limited Access Present Major Challenges. Automating Responses To Agricultural Questions Can Alleviate The Burden On Conventional Helpline Systems, Enabling Farmers With Timely And Accurate Data. In Addition, Integrating Real-time Weather Forecasts And Crop Disease Forecasts Into These Systems Supports Farmers In Decision-making Through Proactive, Locally-based Insights To Help Mitigate Risks And Increase Productivity. This Provides Farmers With Not Just General Advice But Also Context- Based Recommendations That Are Specific To Their Individual Environments. Additionally, Incorporating Artificial Intelligence In Agriculture Offers A Bright Future Avenue, With Safety Net Words—particularly Transformers—emerging Highly Proficient At Interpreting Complex Questions On Agriculture And Providing Appropriate Answers. The Present Paper Delves Into How Large Language Models (LLMs) Are Able To Ease Access To Knowledge For Farmers By Taking Advantage Of Their Vast Language Processing Ability. With A Rich Pool Of More Than Four Million Queries From Tamil Nadu, India, Over A Broad Topic Area In Agriculture, This Research Demonstrates How LLMs Are Effective At Bridging The Knowledge Gap And Giving Farmers Real-time Access To Crucial Information.

Author: Jayanth Adhitya C M | A Mithilesh | Bharathi Mohan G

Area of research: Image Processing And Machine Learning

The Most Reliable And Unique Feature Of Human Identity Is The Fingerprint Pattern. The Fingerprint Pattern Cannot Be Changed And Remains As Is Till The Death Of An Individual. Predicting The Blood Group Using Fingerprints Is A Concept That Attempts To Identify A Person's Blood Group By Analyzing Patterns In Their Fingerprints. The Approach Proposes Using The Unique Features Of Fingerprints To Predict Blood Group Types Without Invasive Procedures Like Blood Sampling And Integration Of Biometrics -fingerprint Analysis With Medical Science -blood Group Prediction .This Method Introduces A Non-invasive, Quick, And Innovative Application Of Includes The Use Of Advanced Image Processing Techniques And Machine Learning Algorithms To Analyze Fingerprint Data. This Paper Discusses A Method For Identifying Individuals By Analyzing The Patterns Of Details Extracted From Fingerprints. Additionally, It Highlights How Fingerprints Can Be Utilized To Investigate Certain Blood-related Issues. The Aim Of This Paper Is To Review Recent Studies On Fingerprint Recognition, Outline The Step-by-step Process Involved In Fingerprint Identification, And Summarize The Unique Characteristics Of Fingerprints

Author: Pratiksha Jamadade | S.S.Sangewar

Area of research: Information Technology

Learning And Acquisition - Website - Software Solutions Have Been Carefully Developed To Revolutionize The Management Of Economic Activity And To Revolutionize The SVERI College In Pandarpur To Optimize Student Commitment To Learning And Acquisition Programs. This Innovative Platform Automates The Existence And Effort Of Job Management For Students Enrolled In The Program. It Allows Departmental Activities To Be Monitored And Inspired, Allowing Students To Safely Access The Workplace And Presence Files Only To Participants. The Overall Productivity Platform Allows You To Search For Detailed Presence Files And Department Participation Statistics For Important Students With A Rapid Search. Student Participation Management Website Digital Platform PHP Programming Mysql Database User - Automated Workflow Central Management Management Management Management Management.

Author: Amey Bhatlavande | Alfiya Patil | Sampada Gogave | Sanjana Shinde | Rutuja Patil

Area of research: Information Technology

The Online Examination Management Platform Is A Dynamic Web-based Solution Developed To Modernize And Simplify The Assessment Process For Academic Institutions This System Is Structured Into Two Core Components The Administrator Panel And The Student Interface The Administrator Panel Enables Authorized Users To Design Exams By Uploading Pdf Documents Configure Time Limits Oversee User Accounts Including Students And Fellow Administrators And Analyze Performance Metrics The Student Interface Provides Examinees With Secure Access To Scheduled Tests The Ability To Complete Choice Assessments Submit Their Answers Digitally And Obtain Immediate Feedback On Their Scores Built With Php For Backend Functionality Mysql For Secure Data Storage And Html For Responsive Design The Application Is Deployed On An Apache Server Using Xampp By Transitioning To A Digital Examination Framework This Initiative Significantly Reduces Administrative Burdens Eliminates Paperbased Inefficiencies And Promotes Accuracy Fairness And Operational Transparency Standout Capabilities Like Automated Grading And A User-centric Dashboard Optimize Usability For Both Educators And Learners Fostering A More Streamlined And Productive Evaluation Environment

Author: Vidya Wangikar | Ruchita Jadhav | Sanjana Waghmare | Sanika Deshmukh | Pratiksha Wagh

Area of research: Information Technology

The Sakshi Enterprises Agro Shop Website Aims To Digitize The Traditional Agricultural Product Shop Into A User-friendly, Interactive, And Efficient Online Platform. Developed Using HTML, CSS, JavaScript, Java, And MySQL, The Website Offers Real-time Access To Product Categories Like Fertilizers, Pesticides, Herbicides, And Seeds. It Features A Dynamic Product Gallery, Inquiry Form, Feedback Section, And A Dedicated Admin Panel For Managing Product Listings. This Digital Initiative Not Only Simplifies Access For Farmers But Also Enhances Transparency, Customer Communication, And Engagement. The Platform Bridges The Digital Gap In Rural Areas, Offering Product Insights And Fostering The Adoption Of Modern Agriculture Practices.

Author: V.S.Wangikar | Gauri Kashid | Shivani Babar | Pranali Mane | Sharvari Pujari

Area of research: Engineering

This Research Based On The Presenting The Development And Implementation Of Android Based E-commerce Clothing Application That Allow The User To Purchase The Clothes And Also Design Custom Garments Using Their Own Creativity Or Artwork , This App Include Secure Login And Registration With Firebase Authentication, Real-time Data Storage , Profile Management, Order History And Admin Panel Functionality .A Main Feature Is The Custom Clothing Design Feature .Allow User To Customize T-shirt And Outfit. The Admin Dashboard Supports Product Management And Order Tracking .The App Was Buit Using Java, XML And Firebase, Offering Scalability, Reliability And User-friendly Navigation. This Paper Outline The Complete Architecture, Functionality And Testing Outcomes.

Author: Mrs. Vidya S. Wangikar | Mr. Pravin H. Navale | Mr.Sairaj M. Mane | Mr. Aditya S. Gore | Mr. Aditya R. Awatade

Area of research: MBA

NGXP Technologies, Headquartered In Kochi, Kerala, Is An Emerging Technology Solutions Provider Dedicated To Delivering Innovative And Efficient Digital Solutions For Businesses Across Diverse Sectors. Specializing In Areas Such As Software Development, IT Consulting, Cloud Services, Data Analytics, And Enterprise Solutions, NGXP Technologies Empowers Organizations To Navigate The Complexities Of The Digital Landscape. With A Focus On Customer-centric Approaches And Cutting-edge Technologies, The Company Is Committed To Driving Digital Transformation And Operational Excellence For Its Clients. NGXP Technologies Fosters A Culture Of Continuous Learning, Innovation, And Collaboration, Which Enables It To Design Customized Solutions That Address Specific Business Challenges And Unlock New Growth Opportunities. Leveraging Its Skilled Workforce And Robust Technological Capabilities, NGXP Technologies Continues To Expand Its Footprint, Contributing To The Advancement Of The Digital Economy Both Regionally And Globally

Author: Mr.Abhishek V M | Dr. C Ashokan

Area of research: Information Technology

Gurukrupa Bhaktnivas Online Booking System Is An Internet-based Program That Enables The Simplification Of The Room Booking And Management Procedure For Pilgrims Residing In Gurukrupa Bhaktnivas. The Old Method Of Booking Was Through Manual Entries And Personal Interactions, Hence The Inefficiencies, Conflict Of Booking, And Invisibility. This Project Meets All These Challenges By Providing A Full-fledged Digital Solution Utilizing HTML, CSS, And JavaScript For Front-end Design, PHP For Back-end Logic, And MySQL For Database Management. The System Enables Users To Confirm Room Availability, Input Their Booking Information, And Get Real-time Confirmation. It Also Provides An Admin Panel To Handle Bookings, Change Room Status, And Handle User Queries. A "Chat With Us" Module Allows Users To Talk Directly To The Admin For Any Help, With All Messages Saved In An Isolated Database Table. Development And Testing Were Done Locally With The XAMPP Setup. This Online Booking System Generally Improves The Efficiency, Accessibility, And Ease Of Managing Bhaktnivas Services For Administrators And Visitors Alike.

Author: Akash Janrao | Vaishnavi Joshi | Vinaya Talekar | Pranjal Kokare | Aditi Jawanjal

Area of research: Information Technology

Accurate Monitoring Of Learner Presence Remains A Cornerstone Of Academic Administration Though Outdated Paper-based Techniques Commonly Exhibit Reliability Gaps Operational Delays And Administrative Burdens To Resolve These Pain Points This Initiative Pioneers A Digitized Attendance Framework Utilizing Qr Code Authentication Meticulously Crafted To Elevate Data Integrity Processing Velocity And Institutional Adaptability The Architecture Employs Wbp Web-based Programming For Cloud Processing Html5css3 For Responsive Layouts And Mariadb For Secure Information Retention Hosted On An Apache-mysql-php Stack Participants Are Issued Individualized Matrix Barcodes Enabling Instantaneous Faultless Check-ins With Precision Timekeeping Functionality Spans Automated Matriculation Processing Customizable Qr Tag Synthesis Synchronous Participation Tracking And Ai-driven Performance Dashboards A Privileged Oversight Portal Empowers Administrators To Curate Scholar Profiles Analyze Presence Metrics And Extract Compliance Documentation This Pixel-pattern Methodology Delivers Rapid No-contact Identity Validation Perfectly Suited For Densely Populated Learning Hubs The Study Elucidates The Modular Blueprint Agile Deployment Lifecycle And Stress-testing Outcomes Supplemented By Encountered Constraints And Their Innovative Resolutions This Paradigm Proves Fiscally Responsible Modularly Extensible And Seamlessly Integrable Across Heterogeneous Pedagogic Ecosystems Catalyzing Next-generation Scholastic Governance And Refined Operational Workflows.

Author: Amey Bhatlavnde | Diksha Pawar | Tanuja Kamble | Kalyani Dhage | Sanika Gidde

Area of research: Finance

The Study "The Influence Of FinTech Platforms On Retail Customers’ Financial Decisions" Examines The Impact Of FinTech On Consumer Behavior In Kochi, Focusing On Hedge Finance. It Uses Primary Data From Surveys And Secondary Sources To Identify Factors Driving FinTech Adoption, Including Ease Of Use, Trust, Accessibility, And Security. The Research Shows That Young, Educated, Salaried Individuals Mainly Use FinTech For Online Transactions And Budgeting. The Majority Of Respondents Reported Improved Financial Planning And A Decline In Reliance On Traditional Banks. The Study Concludes That Platforms Like Hedge Finance Help Customers Make More Informed And Secure Financial Decisions.

Author: Ms.Anupama.P | Dr.R.Suma

Area of research: MARKETING

This Research Aims To Support The Company's Efforts In Enhancing Overall Dealer Satisfaction By Identifying Areas For Strategic Improvement. Dealer Satisfaction Plays A Crucial Role In The Success Of An IT Company, Particularly In Today’s Dynamic And Highly Competitive Business Environment. The Findings From This Study Are Expected To Guide The Company In Optimizing Its Operations, With A Focus On Better Serving Its Dealer Network And Understanding Their Specific Needs And Expectations. As The IT Sector Continues To Grow Alongside Other Emerging Industries, Businesses Are Facing Increasing Distribution Challenges. Dealers Are At The Frontline Of These Challenges, Often Struggling With Supply Chain Inefficiencies, Lack Of Timely Support, And Inadequate Communication. This Study Will Provide Valuable Insights Into The Level Of Satisfaction Dealers Have With The Company’s Products And Services. By Gathering Feedback Directly From Dealers, The Company Can Better Evaluate Which Products Are Favored And Why, As Well As Identify Any Gaps In Performance Or Service. Furthermore, The Research Will Analyze The Various Methods And Techniques Currently Employed By The Company To Attract And Retain Dealers. Understanding What Strategies Are Effective—and Which Are Not—will Enable The Company To Tailor Its Approach To Dealer Engagement And Support More Effectively. In Doing So, The Company Can Not Only Improve Satisfaction Levels But Also Foster Stronger, Long-term Relationships With Its Dealer Base. Ultimately, This Research Will Be Instrumental In Highlighting The Key Factors That Influence Dealer Satisfaction. By Addressing These Factors, The Company Can Implement Meaningful Changes That Enhance Dealer Loyalty, Streamline Distribution, And Improve Overall Competitiveness In The Market. The Insights Gained Will Not Only Benefit The Company's Growth But Also Ensure A More Responsive And Adaptive Business Model Aligned With The Needs Of Its Dealer Network.

Author: Ms. SHAHALA.K | DR. KVS RAJ

Area of research: Management Studies

This Study Investigates The Multifaceted Nature Of Employee Engagement Within The Dynamic And Competitive Landscape Of The Automotive Industry. Recognizing The Critical Role Of Human Capital In Driving Innovation, Productivity, And Overall Organizational Success In This Sector, This Research Explores The Key Drivers, Outcomes, And Challenges Associated With Fostering A Highly Engaged Workforce. Through A Mixed-methods Approach, Incorporating Quantitative Surveys And Qualitative Interviews With Employees And Management Across Various Levels Within Automotive Organizations, This Study Aims To Identify The Specific Factors That Significantly Influence Employee Engagement In This Industry. These Factors May Include, But Are Not Limited To, Job Satisfaction, Organizational Culture, Leadership Styles, Opportunities For Growth And Development, Compensation And Benefits, And The Impact Of Technological Advancements And Industry Disruptions. Furthermore, The Research Examines The Tangible Consequences Of Employee Engagement, Such As Its Correlation With Employee Retention, Quality Of Work, Customer Satisfaction, And Ultimately, Organizational Performance. By Providing Empirical Evidence And Practical Insights, This Study Seeks To Contribute To A Deeper Understanding Of Employee Engagement In The Automotive Industry And Offer Actionable Recommendations For Organizations To Cultivate A More Engaged And Productive Workforce, Thereby Enhancing Their Competitive Advantage In This Evolving Sector

Author: Mr.Akshay Ct | Dr KVS Raj

Area of research: MBA

This Study Examines The Working Capital Management Practices Of Camino Infotech Private Limited, A Technology-driven Software Services Firm Based In Kochi, India. Effective Working Capital Management Is Critical To Sustaining Liquidity And Operational Efficiency, Especially In The Fast-paced IT Industry. The Research Evaluates Camino's Financial Performance Over A Four-year Period (2020– 2024) Through Ratio Analysis, Common-size Statements, And Assessments Of Changes In Working Capital. The Research Concludes With Recommendations To Strengthen Liquidity, Streamline Receivables And Payables, And Implement Effective Cost-control Strategies. Overall, The Study Underscores The Importance Of Consistent And Strategic Working Capital Management To Enhance Financial Health And Support Long-term Growth.

Author: Mr.Ganesh.M | Mr.Srinivasm.B

Area of research: Information Technology

SCORIFY Is A Simple And Easy-to-use App Built To Enhance The Experience Of Cricket Fans And Local Match Organizers. It Offers Live Match Updates, Player Stats, And Detailed Match Insights In Real-time. Designed Especially For Community Or Local Matches, SCORIFY Provides A Distraction-free And Pleasant User Experience With A Clean And Smooth Interface. This Paper Walks Through How The App Was Conceptualized, Designed, And Improved Based On Feedback, And Highlights Its Potential To Transform The Way Grassroots Cricket Is Followed.

Author: Reshma Kailas Malgonde | Sumit Vikas Jadhav | Samarth Subhash Chavan | Onkar Gorakh Londhe | Shubham Subhash Godase

Area of research: Finance

This Research Study Examine The Effectiveness Of Compensation Management In Driving Employee Motivation, Satisfaction, And Performance .The Research Reveals That Fair And Equitable Compensation Structure, Transparent Communication And Regular Review Of Compensation Package Significantly Impact Employee Outcomes. Study Specifically Analyzing The Working Capital Management At OHO Solutions, A Zoho Premium Partner Based In Kochi, We Can Gain Insights By Examining Their Operational Strategies Through Various Case Studies. These Case Studies Demonstrate OHO Solutions' Approach To Enhancing Operational Efficiency, Which Can Positively Impact Working Capital Management. While A Specific Study On OHO Solutions' Working Capital Management Is Not Available, Their Emphasis On Operational Efficiency Through Automation, Centralized Data Management, And Enhanced Communication Suggests A Proactive Approach To Managing Working Capital. These Strategies Likely Contribute To Improved Cash Flow, Reduced Operational Costs, And Optimized Inventory Levels, All Of Which Are Critical Components Of Effective Working Capital Management.

Author: Muhammed Suhail.KS | Ashokan.c

Area of research: Management Studies

The Performance Appraisal System In TTK Prestige Is A Critical Tool For Evaluating Employee Performance, Identifying Areas For Improvement, And Aligning Individual Goals With Organizational Objectives. This Study Aimed To Assess The Effectiveness Of The Current Performance Appraisal System And Identify Areas For Improvement. The Study Revealed That The Current Performance Appraisal System Is Partially Effective, With Strengths In Individual Performance Focus And Managerial Support. However, Several Areas For Improvement Were Identified Employees Reported That They Do Not Receive Regular Feedback On Their Performance, Making It Difficult For Them To Adjust And Improve. Employees Expressed Confusion About Their Performance Expectations, Making It Challenging For Them To Meet Organizational Goals. Employees Perceived The Evaluation Process As Opaque, Leading To Concerns About Fairness And Bias. The Performance Appraisal System In TTK Prestige Has The Potential To Be A Powerful Tool For Driving Employee Performance And Organizational Success. By Addressing The Identified Areas For Improvement And Implementing The Recommended Changes, TTK Prestige Can Enhance The Effectiveness Of Its Performance Appraisal System And Achieve Its Strategic Objectives.

Author: Ms. Neethu . G | Mr.Ranjith

Area of research: MBA

Working Capital Management Is A Crucial Aspect Of Financial Management That Ensures A Company Maintains An Optimal Balance Between Its Current Assets And Liabilities. It Involves Managing Inventories, Receivables, Payables, And Cash To Ensure A Business Can Continue Its Operations And Meet Its Short-term Obligations. Efficient Working Capital Management Is Vital For Sustaining Liquidity, Profitability, And Overall Business Performance. It Examines HMT Limited’s Liquidity Over Five Years Using Secondary Data Like Liquidity Ratios, Activity Ratios, Schedule Of Changes In Working Capital Common Common Size Balance Sheets. Results Show Small Companies Have Better Liquidity Than Large Ones, With Negative Growth Rates In Key Working Capital Ratios Indicating Unsound Positions. Aggressive Working Capital Management Can Lead To Higher Returns But Increases The Risk Of Default And Bankruptcy. The Study Highlights HMT Limited Kalamassery’s Liquidity Using Their Financial Statements..

Author: Ms.Greeshmac | Mr.Srinivasm.B

Area of research: Management Studies

This Study Explores The Feasibility, Challenges, And Opportunities Surrounding The Adoption Of Green Hydrogen Across Industrial Sectors. Green Hydrogen, Produced Via Electrolysis Using Renewable Energy, Represents A Clean, Sustainable Alternative To Fossil Fuels, With Applications In Steel, Cement, Refining, And Transportation Industries. Despite Its Potential, Widespread Adoption Remains Hindered By High Production Costs, Infrastructure Limitations, And Policy Uncertainties. The Research Adopts A Mixed-method Approach Combining Primary Data Through Surveys With 30 Industry Participants And Secondary Data From Global Reports And Scholarly Articles. Statistical Tools Such As Chi-square Tests, Logistic Regression, And Spearman Correlation Were Employed To Assess The Relationship Between Industry Behavior Andgreen Hydrogen Adoption.

Author: ASWATHI PV | SRINIVAS MB

Area of research: Management Studies

This Study Explores The Distribution Channels Of Gramodhaya Vanitha Kendram (GVK), A Women-led Enterprise Aimed At Empowering Rural Communities Through The Production And Distribution Of Household And Eco-friendly Products. The Research Analyzes The Structure And Efficiency Of Its Current Distribution System, Identifies The Challenges Faced, And Proposes Strategic Improvements. Drawing On Both Primary Data From Stakeholders And Secondary Literature On Rural Supply Chains, The Findings Indicate A Need For Digital Engagement, Logistical Enhancements, And Capacity Building To Improve Market Reach And Sustainability.

Author: Mr. Sidharth C.M | Dr. Ashokan .C

Area of research: Management Studies

This Project Investigates Customer Retention Strategies For B2B Software Firms, With A Special Focus On Cydez Technology. As Acquiring New Customers Becomes Increasingly Expensive And Time-consuming, Retaining Existing Clients Has Become A Top Priority. The Study Explores Critical Factors Influencing Retention, Including Onboarding Quality, Customer Success Effectiveness, Proactive Support, And Consistent Value Delivery. By Combining Customer Feedback, Competitive Benchmarking, And Analysis Of Key Metrics Like Customer Lifetime Value (CLV) And Churn Rates, The Research Evaluates Cydez Technology’s Strategy Against Industry Best Practices To Identify Strengths And Gaps. Findings Highlight That Successful B2B Software Firms Build Long-term Relationships Through Personalized Engagement, Regular Follow-ups, Tailored Solutions, Transparent Communication, And Flexible Pricing Models. Based On These Insights, The Project Recommends Refining Onboarding, Strengthening Customer Success Initiatives, Leveraging Data-driven Decision-making, And Introducing Loyalty Programs. These Strategies Aim To Boost Customer Satisfaction, Reduce Churn, And Drive Long-term Growth, Offering A Practical Roadmap For B2B Software Firms To Enhance Customer Retention And Maintain A Competitive Edge.

Author: Ms Durga C | Mr. Srinivas M B

Area of research: MBA

In Today's Competitive Business Environment, Effective Inventory Management Is Crucial For Any Business, Particularly For Trading Companies. True Sun Trading Company, Located In Kottayam, Kerala, Operates In The Fast-paced And Demanding Wholesale Trading Industry. As A Trading Company That Deals With A Variety Of Products, Ranging From Consumer Goods To Industrial Supplies, The Company's Ability To Manage Its Inventory Efficiently Is Vital To Maintaining Profitability And Ensuring Smooth Operations Inventory Management Refers To The Process Of Overseeing And Controlling The Flow Of Goods Into And Out Of The Company's Inventory. This Includes Activities Such As Procurement, Storage, Stock Control, And Distribution. For Truesun Trading Company, Efficient Inventory Management Means Balancing The Need To Meet Customer Demand Without Overstocking, Which Could Lead To Financial Strain Due To Tied-up Capital Or Wastage Due To Perishable Items Or Obsolescence’s

Author: Mr. Mukundan | Mr. Rajkumar Narayanan

Area of research: MBA

This Study Examines The Impact Of Training And Development Programs On Job Satisfaction Among IT Professionals At Cydez Technologies. Using A Quantitative Approach With Data From 65 Employees, The Research Found A Strong Positive Correlation Between The Frequency And Quality Of Training And Employee Satisfaction. Most Employees Reported That Technical Skill Development And Emerging Technology Training Enhanced Their Performance, Confidence, And Job Satisfaction. The Findings Suggest That Well-structured Training Programs Play A Key Role In Improving Employee Engagement And Retention. The Study Recommends Introducing Advanced Modules, Interactive Methods, And Consistent Feedback To Maximize Training Effectiveness.

Author: Msdevika K | Dr RANJITH R

Area of research: Management Studies

The Rise Of Remote Work Has Redefined Organization Functioning And Employee Performance Across Industries, Particularly In The IT Sector. This Study Explores The Impact Of Remote Work Arrangements On Employee Productivity And Performance With A Special Focus On NGXP Technologies, Kochi. The Research Examines Key Variables Such As Communication, Task Efficiency, Technical Infrastructure, Collaboration Challenges And Employee Satisfaction Under Remote Working Conditions. Data Was Collected Through Structured Questionnaires From Employee Across Various Departments, Primarily In IT And Software. Analytical Tools Such As Percentage Analysis, Cross-tabulation And Chi-square Tests Were Employed To Interpret The Data. The Study Concludes That Although Remote Work Has Enabled Flexibility And Increased Efficiency For Many, It Also Demands Stronger Virtual Collaboration Tools, Regular Feedback Systems And Well Balanced Hybrid Work Model.

Author: Ms.Anju.M | Dr.Kvs.Raj

Area of research: MBA

This Project Takes A Closer Look At How Inventory Is Managed At ABB India Ltd., Bangalore, A Well-known Company In The Field Of Power And Automation. Effective Inventory Management Is Essential For Any Manufacturing Company, And This Study Focuses On Understanding How ABB Handles Its Stock—whether It's Raw Materials, Work-in-progress Items, Or Finished Goods. The Research Is Based On Data From 2020 To 2024, And Uses Tools Like Inventory Turnover Ratios, Economic Order Quantity (EOQ), ABC Analysis, And Holding Period Calculations To Evaluate Performance. One Key Finding Is That While The Company’s Sales Have Grown, The Finished Goods Turnover Has Actually Dropped. This Could Mean That Products Are Staying In Storage Longer Than They Should, Which May Point To Issues In Production Planning Or Slower Sales. The EOQ Analysis Also Shows That There’s Room For Improvement When It Comes To How And When ABB Places Orders. Some Materials Are Being Ordered In Large, Inconsistent Quantities, Which Could Be Avoided With Better Forecasting And Planning.

Author: Mr. Sravan Moorthy. V | Mr.Rajkumar Narayanan

Area of research: Management Studies

Employee Retention Has Emerged As A Critical Concern For Organizations Across Various Sectors In Today’s Competitive Business Environment. Retaining Skilled Employees Ensures Continuity, Reduces Recruitment Costs, And Supports Long-term Organizational Growth. This Article Explores The Key Factors That Influence Employee Retention, Including Work-life Balance, Job Satisfaction, Career Advancement Opportunities, Leadership Effectiveness, And Organizational Culture. A Well-structured Employee Retention Strategy Not Only Enhances Employee Morale But Also Contributes To Overall Productivity And Performance. Through A Combination Of Literature Review And Data Analysis, This Study Aims To Identify The Most Influential Factors That Encourage Employees To Remain With Their Organization For Longer Periods.

Author: Ms.Amritha A | Dr. KVS Raj

Area of research: Management Studies

In Today’s Digital-driven Environment, Recruitment Has Significantly Evolved With The Integration Of Digital Marketing Strategies. Traditional Hiring Methods Are Increasingly Being Replaced Or Supplemented By Online Platforms Such As Social Media, Job Portals, Email Marketing, And Search Engine Optimization (SEO).The Objective Is To Assess How Digitaltools Are Improving Candidate Reach, Targeting Accuracy, And Cost-efficiency In Recruitment While Also Enhancing The Overall Hiring Experience. The Research Examines The Extent To Which Platforms Like LinkedIn, Facebook, Google Ads, And Job Portals Contribute To Recruitment Outcomes, Especially In Terms Of Candidate Quality And Return On Investment (ROI).

Author: Ms. Ashky KP | Mr. Ranjith R

Area of research: Management Studies

This Study Explores How Compensation Impacts Employee Retention At Strokx Technologies, A Tech Firm In Kochi. With High Demand For Skilled Professionals, The Research Focuses On Key Compensation Elements Like Salary, Incentives, Benefits, And Non-monetary Rewards. Data From All 61 Employees Was Analyzed Using Percentage Analysis, Chi-square, Correlation, And ANOVA. Findings Show That Base Salary, Job Security, And Career Growth Significantly Influence Retention. The Study Highlights A Strong Link Between Work-life Balance And Career Satisfaction, And Confirms That Different Pay Structures Affect Retention Levels. It Concludes That Fair Compensation, Regular Reviews, And Growth Opportunities Are Vital To Boosting Employee Satisfaction And Reducing Turnover.

Author: Ms Shemeena K M | Mr Srinivas M B

Area of research: Management Studies

In The Evolving Landscape Of Digital Marketing, Influencer Collaborations Have Emerged As A Powerful Strategy For Enhancing Brand Visibility And Consumer Engagement. This Study Examines The Role Of Influencer Marketing In Boosting Brand Awareness For Indigo Paints, A Prominent Player In The Indian Paint Industry. Known For Its Innovative Product Offerings And Progressive Branding, Indigo Paints Strategically Engages With Influencers Across Platforms Such As Instagram, YouTube, And TikTok To Appeal To Urban And Millennial Audiences. By Partnering With Influencers In Niches Like Home Décor, Lifestyle, And Interior Design, The Brand Aims To Move Beyond Traditional Advertising And Foster Authentic Connections With Consumers. The Research Investigates How These Collaborations Impact Consumer Perception, Brand Recognition, And Purchasing Behaviour. Quantitative Analysis Reveals That Gender Does Not Significantly Influence Trust In Influencers, Indicating That Marketing Strategies Should Prioritize Content Authenticity, Relevance, And Audience Engagement Over Demographic Segmentation. The Study Also Emphasizes The Importance Of Selecting Appropriate Influencer Types—micro, Macro, Or Celebrity—based On Campaign Objectives And Audience Dynamics. These Insights Underscore The Growing Need For Brands To Develop Data-driven, Psychologically Informed Influencer Strategies That Align With Consumer Expectations In A Digital-first Era.

Author: Mr. Vishnu Dinesh | Dr. C Ashokan

Area of research: Management Studies

This Study Examines The Impact Of Renewable Energy Price Volatility—especially From Solar—on The Economic Viability Of Green Hydrogen Production In India. Using A Questionnaire-based Survey Of Solar Energy Suppliers, It Identifies Seasonal Solar Variability And Grid Constraints As Key Causes Of Price Fluctuations. Effective Mitigation Strategies Include Long-term Power Purchase Agreements (PPAs), Energy Storage Diversification, And Indexed Pricing Models. The Findings Offer Actionable Recommendations For Hyetron Energy Pvt Ltd And Similar Firms To Improve Cost Predictability And Boost Investor Confidence In The Green Hydrogen Sector, Supporting A More Resilient Renewable Energy Ecosystem In Emerging Markets.

Author: Mr.Harikrishnan V | Dr. Kvs Raj

Area of research: Management Studies

This Study Explores The Effectiveness Of Lead Generation And Conversion Strategies At NGXP Technologies, A Digital Transformation Firm Based In Kochi, Kerala. In The Competitive B2B Technology Market, The Company Employs Various Channels Including Digital Marketing, Social Media Outreach, SEO, And CRM Tools To Attract And Convert Potential Clients. The Research Evaluates The Impact, Cost-effectiveness, And Performance Of These Strategies Through Data Collected From All 41 Employees Via Structured Questionnaires. Statistical Tools Such As Percentage Analysis, Chi-Square Test, And Weighted Average Method Were Used To Interpret The Data. Key Findings Reveal That LinkedIn Marketing And Content Marketing Are The Most Effective Lead Generation Channels, While Referrals And Partnerships Rank Lower In Performance. The Study Concludes With Strategic Recommendations To Optimize Marketing Investments And Improve Conversion Rates, Emphasizing The Importance Of Digital Strategies, Targeted Outreach, And CRM Optimization For Sustained Business Growth.

Author: Ms. K A Sabeena | Ms. Suma R

Area of research: Information Technology

This Programming Manual Provides A Comprehensive Guide To Coding Principles And Practices, Featuring Clear And Concise Code Examples That Illustrate Key Concepts And Techniques. Through A Combination Of Theoretical Explanations And Practical Code Reveal, Readers Can Gain A Deeper Understanding Of Programming Fundamentals And Develop Their Skills Through Hands-on Learning And Experimentation. The Manual Covers Essential Topics In Programming, Offering A Valuable Resource For Learners And Developers Seeking To Improve Their Coding Abilities.

Author: Pranali Suresh Somwanshi | Mayuri Khandu Walke | Prof.Mr. Lokare A P

Area of research: MBA

In Today's Highly Competitive Business World, Companies In All Sectors Are Working Hard To Standout From The Competition. This Is Especially True In Manufacturing, Where Product Quality Is A Major Factor That Sets Companies Apart, Especially In Industries Like Agricultural Tools. Consumers Are Becoming More Selective And Demanding Making A Essential For Companies To Consistently Deliver High-quality Products As A Way To Survive And Succeed. Anand Water Meter, Kochi, Is A Respected Manufacturer The Company Places High Importance On Product Quality So Maintain Its Reputation And Success In The Market. Anand Water Meter Offers A Variety Of Water Meters, And, Understands The Necessity Of Adhering Strict Quality Standards To Satisfy Customers' Changing Needs And Expectations

Author: Mr.Shinekumar | Mr.Rajkumar Narayanan

Area of research: Civil Engineering

Fossil Fuels Are Used Now-a-days For Energy Sectors. But These Are Non-renewable Energy Source In Present And Upcoming Generations. So, People Want To Move Sustainable Energy Source, That Their Thought Happened. That Resourceful Fuels Are Cost Effective And Eco-friendly Mode For Our Day-to-day Life Conditions. We Rectify The Problems Faced For Fossil Fuels And Make Life Better Movement To Future Generations And Environment. In That We Thought That Eco- Friendly Products Are Using Nowadays. Biodiesel Is The Cheap And Cost Effective To Our People. Hence The Financial Support Is Additional Strength To Lower And Middle-class People. The Project Tells Us About How The Biodiesel Production From Waste Cooking Oil By Using Egg Shell Catalyst Method Is In Cost Effective Manner. Here Biodiesel Is Being Prepared By Using Waste Cooking Oil, Methanol And Egg Shell Powder Using So No Chemical Method. The Yield Of Biodiesel By This Method Is Good And Cost Effective Compared With Conventional Petrol And Diesel. Hence, We Recommend This Process Is Viable And Practical.

Author: S. Gowthaman | K. Soundhirarajan

Area of research: EEE

The Existing Landscape Of Context-aware Mobile Applications Reveals A Signifcant Gap In Standardized Approaches For Knowledge Representation, Particularly In Addressing The Challenges Posed By Intelligence Requirements Such As Automation, Dynamism, And Intelligent Support. To Address These Critical Issues, This Study Proposes The Integration Of Semantic-aware Service Into Cloud Computing Architecture (SSCCA) As An Innovative Solution. SSCCA Serves As A Unifed Framework Designed To Empower Intelligent Context-aware Mobile Applications By Leveraging A Foundational Cloud Service Model. By Amalgamating Principles From Cloud Computing And Semantic Web Research, SSCCA Aims To Facilitate The Development Of Advanced Cloud Computing Applications With Built-in Intelligence. To Validate The Efcacy Of This Novel Approach, We Present The Smart Context-aware Invoice Platform (SCIP), A Sophisticated Cloud Computing Application Built Upon SSCCA. SCIP Is Engineered To Aggregate Personal Electronic Invoices Seamlessly And Deliver Context-aware Mobile Services On Demand, Thereby Addressing The Pressing Need For Intelligence-driven Solutions In The Realm Of Mobile Context-awareness. Keywords Cloud Computing, Semantic Web, Mobile Context-awareness, Hadoop

Author: A.JOSHICA | K.Abinaya | B.Bhuvaneshwari | R.Dhanyalakshmi

Area of research: B.com Banking And Insurance

The Recruitment And Selection Process At Aviva Life Insurance Company Is A Well-structured And Systematic Approach Aimed At Attracting And Hiring The Most Suitable Candidates For Various Roles. The Process Begins With Candidates Submitting Their Applications Online, Followed By An Initial Screening To Shortlist Those Who Meet The Basic Eligibility Criteria. Shortlisted Applicants Undergo Preliminary Assessments, Which May Include A Screening Interview And Relevant Skill-based Tests. Candidates Who Perform Well In These Stages Are Then Invited For A Final Interview Conducted By Departmental Heads To Evaluate Their Competencies, Experience, And Alignment With The Company’s Values. Once Selected, Candidates Receive Job Offers And Proceed Through The Onboarding Process, Which Involves Medical Evaluations And Orientation Sessions To Help Them Integrate Into The Organization. Aviva Emphasizes A Fair, Transparent, And Inclusive Recruitment Strategy That Ensures The Selection Of Qualified Individuals Who Are Also A Good Cultural Fit For The Company..

Author: Mr. Aravindhraja G.B | Dr. Sathiya priya .P

Area of research: CSE

Cardiovascular Diseases (CVDs) Remain A Leading Cause Of Mortality Worldwide, Necessitating Efficient Diagnostic Tools For Early Detection. Electrocardiogram (ECG) Analysis Is A Cornerstone Of Cardiac Diagnosis, But Manual Interpretation Is Time-consuming And Prone To Errors. This Paper Proposes An Automated ECG Classification System Using A Recurrent Convolutional Neural Network (RCNN) To Classify ECG Signals As Normal Or Abnormal. The System Leverages The PTB-XL Dataset, Preprocesses ECG Signals To Remove Noise And Segment Them Into Fixed Windows, And Trains An RCNN Model Combining Convolutional And Recurrent Layers For Spatial And Temporal Feature Extraction. The Proposed Model Achieves An Accuracy Of 92%, Outperforming A Baseline CNN Model (85% Accuracy). A Flask-based Web Interface And Deployment On Streamlit Cloud Ensure Accessibility For Healthcare Professionals. This Work Demonstrates The Potential Of RCNNs For Real-time, Accurate ECG Classification, With Applications In Telemedicine And Emergency Care.

Author: Dr.R.J. Aarthi | Mohammed Mubarak | Mareddy Rajitha | Mohammad Imran

Area of research: Civil Engineering

As In This Project, Rainfall Plays A Crucial Role In Determining Agricultural Productivity, Water Resource Availability, And Environmental Sustainability. This Study Utilizes Geographic Information System (GIS) Techniques To Analyze The Spatial And Temporal Distribution Of Rainfall In The [insert Region Name] Over The Period Of [insert Years]. Rainfall Data From [insert Source, E.g., Indian Meteorological Department (IMD)] Was Processed Using Interpolation Methods Such As Inverse Distance Weighted (IDW) And Kriging In ArcGIS To Generate Continuous Surface Maps. Zonal Statistics Were Employed To Assess Rainfall Distribution Across Administrative Boundaries. The Analysis Revealed Significant Spatial Variability In Rainfall Patterns, Highlighting Regions Of Both Excess And Deficit Rainfall. These Insights Are Essential For Agricultural Planning, Disaster Risk Reduction, And Efficient Water Resource Management. The Study Demonstrates The Effectiveness Of ArcGIS As A Decision-support Tool For Climatological And Hydrological Assessments.

Author: Mr.M.Gopinath | Mr.M.Gopinath | K.Susidharan | J.Yuvaraj | B.Manikandan | D.Kirubakaran | Selvapriya

Area of research: Computer Science And Engineering

This Project Proposes A Novel Stock Price Prediction Framework That Builds Upon Existing Models By Incorporating Several Key Enhancements. The Proposed Model Will Utilize Advanced Deep Learning Architectures, Such As Transformer Networks Or More Sophisticated LSTM Variants, To Capture Complex Temporal Dependencies In Stock Price Data. Furthermore, It Will Implement A Dynamic Feature Selection Mechanism To Identify And Prioritize The Most Relevant Features For Prediction, Adapting To Changing Market Conditions. Optionally, The Framework Will Explore The Integration Of Sentiment Analysis From News Articles And Social Media To Capture Market Sentiment As An Additional Predictive Factor. The Model's Performance Will Be Rigorously Evaluated And Compared Against Existing State-of-the-art Models Using Standard Metrics. This Research Aims To Demonstrate The Potential Of Enhanced Deep Learning Techniques And Dynamic Feature Selection To Achieve More Accurate And Robust Stock Price Predictions.

Author: Snehal Reddy | Karthik | Rajesh | Dharmendra | Dr.R.J.Aarthi

Area of research: Earthquake Resistant Buildings

This Review Paper Is Prepared For A Comparative Study Of Strengthening Measures Adopted For Open Ground Storey Buildings By Studying Previously Published Research Papers. Selected Papers Covering An Area Of Study Like Seismic Performance Of Multi-storeyed Buildings Having Open Ground Storey By Retrofitting With Lateral Load Resisting Systems Like Moment Resisting Frames, Shear Walls For Different Storeys At Different Locations, Concentric And Eccentric Bracings For Different Storeys At Different Locations, Stiffer Columns, Tapered Columns, Light Weight Infill Walls, Addition Of Columns In Open Ground Storey, Providing Masonry Infill Walls In Open Ground Storey, Replacing Rectangular Columns By Circular Columns In Open Ground Storey Etc. The Seismic Performance Is Evaluated In Terms Of Seismic Parameters Like Lateral Storey Stiffness, Storey Displacements, Storey Drifts, Base Shears, Torsion Eccentricity, Overturning Moments, And Time Periods.

Author: Smita A. Chougule | Radhika

Area of research: MBA

In Today’s Dynamic Work Environment, Multitasking Has Become A Common Practice Aimed At Enhancing Efficiency. However, Its Impact On Employee Productivity And Job Satisfaction Remains Inadequately Understood, Particularly When Considering The Diverse Age Groups Present In The Workforce. With Increasing Age Diversity, It Is Important To Explore Whether Multitasking Affects Employees Differently Based On Age And To Identify Effective Strategies That Align With The Specific Needs And Preferences Of These Groups. This Study Aims To Analyze The Impact Of Multitasking On Job Satisfaction And Productivity Across Different Age Groups. It Also Seeks To Examine The Relationship Between Multitasking, Employee Engagement, And Organizational Commitment. The Findings Of This Study Will Provide Valuable Insights For Organizations To Develop Age-specific Strategies That Enhance Employee Performance And Satisfaction In Multitasking Environments

Author: RESHMA RAJESH | Mr. Ranjith R

Area of research: Electronics And Communication Engineering

This Study Suggests A Method For Using The Raspberry Pi An Inexpensive Microprocessor, To Operate Anesthetic Machines. In Order To Precisely Provide Anesthetic Gases And Vapours To Patients During Surgical Procedures, Aesthesia Machines Are Essential Medical Equipment. Customization And Integration With Contemporary Healthcare Systems Are Frequently Restricted By The Proprietary Hardware And Software Used By Traditional Anesthetic Machines. Through The Utilization Of Raspberry Pi's Capabilities, We Offer An Adaptable And Economical Approach To Control Anesthetic Machines. Our System Makes Use Of Sensors To Keep An Eye On Critical Factors Including Oxygen Content, Pressure, And Gas Flow Rates. It Then Provides Real-time Feedback To Guarantee Precise Anesthetic Delivery. By Analyzing This Data And Modifying The Machine's Settings Accordingly, The Raspberry Pi Maximizes Patient Comfort And Safety. Moreover, Our Methodology Facilitates Smooth Integration With Electronic Health Records. To Further Enhance System Reliability, Especially In Critical Surgical Environments, A Battery Backup Module Is Integrated To Ensure Uninterrupted Operation During Power Outages, Providing Continuous Monitoring And Control Even In Emergency Conditions.

Author: Dr.V. Adi Narayana | Mr. S. Gowtham | Ms L. Lakshmi Sri Anvitha | Mr. D. Yaswanth | Mr. P. Sai Teja

Area of research: HR MANAGEMENT

This Study Examines The Impact Of Training And Development On Employee Performance At DextrisInfoservices Private Limited. With The Increasing Importance Of Continuous Learning In The Software Industry, The Research Aims To Assess How Various Training Methods Influence Employee Satisfaction And Skill Enhancement. Using A Descriptive Research Design, Primary Data Was Gathered From 69 Employees Through Structured Questionnaire, Supported By Secondary Data From Company Reports And Literature. The Findings Are Expected To Highlight The Relationship Between Training Programs And Improved Employee Performance, Offering Insights Into The Effectiveness Of Different Approaches. This Study Also Proposes A Framework For Implementing Efficient Training Programs, Contributing To The Overall Growth And Productivity Of The Organization.

Author: RAMYA PA | RANJITH R

Area of research: Electronics And Telecommunication Engineering

This Project Proposes An Arduino-based Wireless Visitor Counter System That Uses IR Sensors, Motor Drivers, And RF Communication To Monitor And Manage Visitor Flow In Enclosed Spaces. The Transmitter Unit Detects The Direction Of Movement Using IR Sensors Placed At Entry And Exit Points. Based On The Sequence Of Sensor Triggers, The System Counts People Entering Or Leaving A Room. A Motor Driver Can Be Used To Automate Doors Or Gates Accordingly.The Visitor Count Is Transmitted Wirelessly To The Receiver Unit Via RF Modules (e.g., 433 MHz). The Receiver, Also Arduino-controlled, Displays The Current Count On An LCD Screen And Can Trigger Additional Actions Like Turning Lights On/off Based On Occupancy. This Cost-effective And Efficient Solution Is Ideal For Use In Smart Rooms, Libraries, Halls, And Other Controlled Environments

Author: Pathak Avdhoot V. | Pathak Shreyash G. | Pinate Aditya V. | Fulgame Abhijeet P. | Dhanure A.S

Area of research: Management Studies

This Report Presents An In-depth Analysis Of Dealer Satisfaction On Anand Asahi Water Meter Manufacturing Co. (P) Ltd., Kochi. The Study Aims To Evaluate The Key Factors Influencing Dealer Satisfaction, Identify Potential Areas For Improvement, And Provide Strategic Recommendations To Enhance Dealer Relationships. A Structured Research Methodology, Including Surveys And Interviews With Dealers, Was Employed To Gather Insights On Various Aspects Such As Product Quality, Pricing, Delivery Timelines, After-sales Service, And Communication Efficiency. The Findings Indicate That While Dealers Are Generally Satisfied With The Company's Product Reliability And Brand Reputation, There Are Concerns Regarding After-sales Support And Timely Order Fulfillment. Based On The Analysis, The Report Suggests Several Measures, Including Improving Logistics Efficiency, Enhancing Customer Service Responsiveness, And Offering Better Incentive Structures To Strengthen Dealer Engagement. Implementing These Recommendations Is Expected To Boost Dealer Satisfaction, Leading To Improved Sales Performance And Long-term Business Growth For Anand Asahi Water Meter Manufacturing Co.(P) Ltd.

Author: Ms. Mohinikrishna T H | Mr. Srinivas M B

Area of research: Human Resources

This Paper Explores The Role Of The Stand-Up India (SUI) Scheme In Empowering Women Entrepreneurs In Coimbatore District. It Evaluates How Access To Credit, Capacity-building Initiatives, And Institutional Support Under SUI Have Contributed To Inclusive Growth And Economic Participation Of Women. The Study Uses Both Primary And Secondary Data, Shedding Light On The Real-world Impact And Challenges Faced By Beneficiaries

Author: Ms.S.V.Maanasa | Dr.K.Parimalakanthi

Area of research: Artificial Intelligence

Maintaining Alumni Engagement Is A Significant Challenge For Educational Institutions Due To The Lack Of Effective Networking Tools And Real-time Communication. This Disconnect Hinders Mentorship Opportunities, Career Guidance, And Job Placements For Students And Graduates. Additionally, Traditional Job Recommendation Systems Rely On Keyword-based Matching, Often Leading To Irrelevant Job Suggestions And Inefficient Hiring Processes. Sara Hire Addresses These Challenges By Offering A Comprehensive Alumni Management And Intelligent Job Recommendation System That Enhances Alumni-student Interactions And Streamlines Job Matching Through AI-driven Techniques. The System Integrates Resume Parsing, Skill-based Recommendations, Real-time Job Postings, And LinkedIn Integration To Ensure Precise Job Matches And Industry-relevant Career Guidance. AI Algorithms Analyze User Profiles To Identify Skill Gaps, Suggest Career Improvements, And Connect Job Seekers With Relevant Opportunities. The Platform Ensures Secure Authentication, Spam And Fraud Detection, And An Intuitive Admin Dashboard For Monitoring Activities. Sara Hire Also Incorporates Automated Interview Scheduling, Structured Job Applications, And AI-based Candidate Screening, Making The Recruitment Process Seamless For Both Job Seekers And Employers. By Fostering A Strong Alumni Network And Leveraging Intelligent Automation, Sara Hire Transforms Traditional Alumni Management And Job Search Experiences, Providing An Efficient, Secure, And Data-driven Solution To Career Development And Professional Networking.

Author: Selline E | Dr.Rengaraj Alias Muralidharan R | Joanne Pranita G | Kiruthika Lakshmi D | Thirisha Sri J

Area of research: Electronics And Communication Engineering

Railway Transportation Is A Critical Infrastructure In India And Many Other Countries, Serving Millions Of Passengers Daily. Ensuring Track Safety Is Paramount To Preventing Accidents Caused By Cracks, Obstacles, Or Derailments. This Paper Presents An IoT-based Flaw Detection System In Railway Tracks Using An Arduino-controlled Robotic Vehicle Equipped With IR Sensors (for Crack Detection) And An Ultrasonic Sensor (for Obstacle Detection). The System Integrates A GPS Module To Log Real-time Location Data And A GSM Module To Send Instant SMS Alerts To Railway Authorities, Including A Google Maps Link For Precise Fault Localization. This Vehicle Detects Defects, And Stops Operation Upon Identifying Defect. The Proposed Model Enhances Railway Safety By Providing Automated Fault Detection, And Alert Generation, Reducing Reliance On Manual Inspections. Its Low-cost, Scalable Design Makes It Suitable For Widespread Deployment In Railway Maintenance Vehicles. The Results Demonstrate Crack And Obstacle Detection With Accurate GPS-based Location Reporting, Proving Its Effectiveness In Improving Track Maintenance Efficiency And Accident Prevention.

Author: Dr. V. Adinarayana | Mr. B.Nikhil Sai Venkat | Ms. K. Devi Sri | Mr. Ch. Sai | Ms. Ch. Sandhya Rani | Mr. G .Satish Raj

Area of research: Information Technology

The Project 'Shopping Cart' Is A Comprehensive E-commerce Web Application Developed To Simulate The Experience Of Shopping In A Physical Store But From The Convenience Of One's Home. The Application Allows Users To Browse A Variety Of Products, Add Items To A Cart, Modify Quantities, And Place Orders. The System Not Only Streamlines The Purchasing Process For Customers But Also Provides A Functional Interface For Administrators To Manage Inventory, Process Orders, And Maintain The Catalog. Our Solution Is Tailored For Scalability And Ease Of Use, Making It Suitable For Small And Medium-sized Businesses. The Project 'Shopping Cart' Is An Innovative And Comprehensive E-commerce Web Application Designed To Replicate The Experience Of Shopping In A Physical Store While Providing The Convenience And Accessibility Of Online Shopping. In An Era Where Digital Transactions Are Becoming Increasingly Prevalent, This Application Serves As A Bridge Between Traditional Retail And Modern Consumer Behavior, Allowing Users To Explore A Diverse Range Of Products From The Comfort Of Their Homes.

Author: Shinde Sumit Girish | Chaudhary M Yosuf Rahil A Jabbar | Shaikh Ajmirilal Suraj | Kamble Ashwinkumar Gopinath | Suraj Shinde | Gopinath, Lokare | Mrs. Tele S N

Area of research: Banking And Insurance

The COVID-19 Pandemic Has Significantly Impacted Consumer Behavior Across Various Sectors, With Health Insurance Being No Exception. As The World Grappled With A Global Health Crisis, Individuals' Perceptions Of Health, Wellness, And Financial Security Evolved, Leading To Noticeable Shifts In Their Attitudes Toward Health Insurance. Post-pandemic, There Has Been An Increased Awareness Of The Importance Of Comprehensive Healthcare Coverage, Driven By The Experiences Of Health Vulnerabilities And Uncertainties Brought On By The Pandemic. This Shift Has Resulted In Higher Demand For More Flexible, Digital-first Health Insurance Solutions, With Customers Prioritizing Ease Of Access, Coverage Inclusive, And Personalized Benefits.Furthermore, Consumers Are Increasingly Seeking Policies That Address Not Just Catastrophic Health Events But Also Preventive Care, Mental Health Support, And Wellness Programs.This Abstract Aims To Explore The Key Changes In Customer Behavior Toward Health Insurance In The Post-pandemic World, Examining The Factors Influencing Purchasing Decisions, The Role Of Digitization, And The Shifting Priorities In Healthcare Coverage. Through Analyzing These Changes, The Paper Seeks To Provide Insights For Insurance Companies On Adapting To The New Consumer Expectations And Developing Strategies That Align With The Evolving Market Trends.

Author: HARINI T.M | AUMATHANAYAKI V.P

Area of research: MARKETING

This Study Deals Into The Critical Role That Customer Reviews Play In Shaping The Marketing Strategies And Business Performance Of Plumeria Holidays, A Travel Agency Based In Kochi. Given The Increasing Reliance On User-generated Content, Understanding How Customer Feedback Impacts Marketing Strategies Is Crucial For Tourism Businesses Like Plumeria Holidays. The Research Aims To Examine How Plumeria Holidays Effectively Integrates Customer Reviews Into Its Business Practices, Particularly In Shaping Its Service Offerings And Marketing Initiatives. A Key Focus Is On The Company’s Ability To Leverage Both Positive And Negative Feedback To Adapt Its Services And Improve Customer Satisfaction. By Assessing How Customer Reviews Influence Decision-making And Booking Behavior, The Study Also Explores How Reviews Can Act As A Tool For Customer Engagement And Trust-building. Through This Comprehensive Analysis, The Research Will Provide Valuable Insights Into How Plumeria Holidays Can Better Utilize Customer Reviews To Enhance Their Marketing Effectiveness, Improve Service Delivery, And Drive Business Growth, Thereby Contributing To The Broader Understanding Of The Impact Of Customer Feedback On The Tourism Industry.

Author: ANJITHA KRISHNA S | Dr. K. S. SREEJAMOL

Area of research: Marketing

This Study Evaluates Customer Satisfaction And Loyalty In The Steel Construction Services Offered By Fabtech Building Systems Pvt Ltd, A Prominent Player In The Pre-engineered Building (PEB) Sector Based In Kalamassery, Kerala. As The Demand For High-quality, Durable, And Cost-effective Steel Structures Rises, Understanding Client Perceptions Has Become Crucial For Maintaining A Competitive Edge. The Research Investigates Key Factors Such As Service Quality, Project Completion Timelines, Communication, Pricing, And Post- Construction Support, And How These Influence Customer Loyalty And Repeat Business. Using Primary Data Collected From 60 Respondents And Applying Statistical Tools Like Percentage Analysis, ANOVA, Chi-square Test, And Correlation Analysis, The Study Finds A Strong Relationship Between Customer Satisfaction And Loyalty. Recommendations Are Provided To Enhance Service Delivery And Strengthen Long-term Customer Relationships.

Author: Nandana P S | Srinivas M B

Area of research: MARKETING MANAGEMENT

The Exponential Growth Of Digital Media Has Tremendously Reshaped Marketing Dynamics Across Sectors, Including Financial Services. Among The New Trends, Influencer Marketing Has Attracted Significant Attention As A Strategy To Foster Trust In Brands And Propel Customer Interaction. Though Widely Used In Customer-oriented Sectors Like Fashion And Cosmetics, Its Application In Customer Retention In Financial Institutions Is Not Well Researched. This Research Work Entitled “Effectiveness Of Influencer Marketing On Customer Retention: A Study At Hedge Finance Ltd, Kochi Seeks To Fill That Gap By Assessing The Effectiveness Of Influencer Marketing Strategies In Retaining Current Customers At A Financial Company. It Relies On The Relationship Marketing Theory And The Customer Retention Model That Underlie Trust, Interactions And Targeted Communication As Strong Drivers Of Customer’s Loyalty In The Long Run. It Relies On A Quantitative Research Design Wherein A Standardized Questionnaire Is Used Primarily As A Collection Instrument For The Data. Customerof Hedge Finance Ltd, A Well-established NBFC Based In Kochi That Has Lately Started Using Influencer Marketing To Boost Its Online Presence, Were Surveyed. The Questionnaire Included Essential Variables Like Credibility Of Influencer, Perceived Value Of Content, Emotional Engagement, And Customer Satisfaction. Research Findings Indicate A Positive Relationship Between Influencer Marketing And Customer Retention, Especially When Influencers Are Seen As Credible, Knowledgeable, And Sharing The Values Of The Target Market. Customers Who Were Exposed To Relevant And Consistent Influencer-driven Content Showed Higher Brand Affinity, Repeat Use Of The Service, And Willingness To Recommend The Company To Others. The Study Also Identifies Influencer Marketing As An Affordable Addition To Conventional Relationship-building Initiatives In The Financial Industry. This Study Contributes To The Emerging Discussion Of Digital Change In NBFCs, Presenting Practical Insights Into Marketers Looking To Build Client Connections Using Non-traditional Media. Although Limited Geographically In Kochi And By Self-report Data, This Study Provides Paths For Future Exploration Into Cross-industry Application, Influencer Category Effectiveness, And Long-term Behaviour Influence On Retention Of Customers.

Author: Ms. Swethak | Dr.K.V.S. Raj

Area of research: Economics

Poverty Is Not Only Because Of A Lack Of Adequate Income. It Is A Social Phenomenon In Which A Section Of A Society Is Unable To Satisfy Even Its Basic Needs Of Life. India Is Continuing To Face This Issue In Spite Of Its Development In Many Areas Of Operation. Article 25 (1) Of The Universal Declaration Of Human Rights Of United Nations States That “Everyone Has The Right To A Standard Of Living Adequate For The Health And Well-being Of Himself And Of His Family, Including Food, Clothing, Housing And Medical Care And Necessary Social Services”. This Right Is Further Reaffirmed In The International Covenant On Economic, Social And Cultural Rights And The International Covenant On Civil And Political Rights. But This Basic Right Is Not Conferred On Many People. The HDI Shows That India Stands In The 136th Position Among 186 Countries With An Index Of 0.554 And Is In The Lowest Decline Of The Medium Human Development. Hence This Paper Intends To Study The Intensity Of Poverty In India By Appraising The Indices, Below Poverty Line Index And Multidimensional Poverty Index Calculated By Various Global Institutions. This Paper Highlights The Reason Of Poverty, Poverty In India, Removal Of Poverty And Poverty Alleviation Programs Etc.

Author: Jagdish B. Sable

Area of research: MARKETING

This Paper Analyses The Relationship Between Service Efficiency And Consumer Satisfaction At Krishnara Enterprises, An Authorized Franchise Of Eureka Forbes, Operating In The Consumer Appliance Sector. The Research Aims To Identify Key Drivers Of Customer Satisfaction, Focusing Especially On Consumers Who Have Been Associated With The Company For Less Than A Year. Using A Mix Of Theoretical Insights And Empirical Data From Customer Surveys, The Study Explores Critical Service Gaps And Proposes Solutions For Improving Customer Retention And Overall Service Quality. Quantitative Tools Like SERVQUAL, Chi-Square, ANOVA, And Correlation Analysis Were Employed To Derive Insights And Validate Hypotheses.

Author: Susmitha.S | Dr. Ashokan.C

Area of research: Marketing Management

Brand Awareness Plays A Pivotal Role In Influencing Investor Behaviour, Particularly In The Finance Sector Where Trust And Credibility Are Essential. In An Environment Flooded With Numerous Investment Avenues And Financial Service Providers, A Strong And Recognizable Brand Can Become A Significant Factor In Attracting And Retaining Investors. This Study Investigates The Impact Of Brand Awareness On Investor Behaviour, Focusing On Hedge Equities As A Case Study. It Aims To Explore How Factors Such As Brand Recall, Familiarity, And Perceived Trustworthiness Contribute To Investor Decision-making, Financial Commitment, And Long-term Loyalty. The Research Assesses The Extent To Which Branding Influences Investor Confidence And The Willingness To Engage With Financial Products And Services. It Also Examines How Brand Awareness Shapes Psychological Perceptions, Such As Risk Tolerance And Investment Preferences. By Analysing Investor Feedback And Market Trends, The Study Seeks To Understand Whether A Higher Level Of Brand Recognition Leads To A Stronger Emotional And Rational Association With The Company. Through A Combination Of Qualitative Insights And Quantitative Analysis, The Study Evaluates How Strategic Branding Initiatives Can Enhance The Overall Investor Experience. The Findings Underscore The Importance Of Building A Credible, Visible, And Consistent Brand Presence In Order To Foster Investor Trust, Improve Retention, And Strengthen Competitive Positioning In The Financial Services Industry. Ultimately, The Research Highlights That Brand Awareness Is Not Merely A Marketing Tool, But A Fundamental Driver Of Investor Behaviour, Playing A Crucial Role In Shaping Financial Decisions, Managing Risk Perception, And Contributing To Sustained Business Growth.

Author: Ms. Ranju Sree P.R | Dr.Sreejamol K.S

Area of research: FINANCE

The Project “Risk And Return Analysis Of Selected FMCG Companies Listed On NSE” Aims To Assess And Compare The Risk And Return Potential Of Various FMCG Stocks In India To Help Investors Identify Suitable Investment Opportunities. The Study Emphasizes The Risk-return Trade-off, A Key Concept In Finance Where Higher Returns Usually Involve Higher Risk. The Analysis Uses Tools Such As Beta, Standard Deviation, Sharpe Ratio, Treynor Ratio, And Jensen’s Alpha To Measure And Compare Risk-adjusted Returns Across Selected Companies. A Diversified Investment Strategy Is Advised, With Firms Like HUL And ITC Offering Strong Stability And Consistent Returns, While Stocks Like Dabur And Marico Present Higher Risk-reward Profiles. The Study Guides Investors In Making Informed Portfolio Decisions Based On Individual Risk Appetite. Ultimately, This Study Provides A Strategic Roadmap For Investors To Align Their Financial Goals With Balanced Risk-return Expectations, Especially Within The FMCG Sector.

Author: NANDANA K | ASHOKAN C

Area of research: Information Technology

Project-based Learning Is An Effective Pedagogical Approach That Fosters Critical Thinking, Problem-solving, And Teamwork Skills. However, Assessing Individual Contributions Within Group Projects Remains A Major Challenge. Traditional Evaluation Methods, Such As Peer Reviews, Instructor Observations, And Self-reports, Are Often Subjective, Inconsistent, And Time-consuming, Leading To Unfair Grading, Disengagement, And Ineffective Teamwork.To Address These Challenges, We Propose An AI-powered Collaboration And Assessment Platform That Objectively Tracks, Analyzes, And Evaluates Student Participation In Real Time. This System Leverages Machine Learning, Natural Language Processing (NLP), And Data Analytics To Monitor Activities Across Various Digital Platforms, Including Shared Documents, Coding Repositories, Task Management Systems, And Communication Tools.The Platform Features Automated Contribution Tracking, Workload Analysis, Engagement Monitoring, And AI-driven Grading Assistance. It Logs Student Activity, Timestamps Document Edits, Tracks Task Completion, And Analyzes Discussion Participation To Generate Transparent And Fair Contribution Scores. NLP-based Sentiment Analysis Assesses Student Involvement In Chats And Discussions, Identifying Passive Engagement Or Teamwork Challenges. Additionally, AI-powered Peer Review Moderation Detects Biases And Inconsistencies In Ratings, Ensuring Fairness.

Author: Madhumita .V | Ms.A.Sheelavathi | Dharshana C | Harshitha S | Sri Dhanalakshmi .R

Area of research: Management Studies

This Study, Titled "Customer Satisfaction Of ERP Software In Educational Institutions With Special Reference To Edship Technologies Pvt Ltd, Kochi," Evaluates The Effectiveness And User Satisfaction Of Edship ERP In Addressing The Administrative Needs Of Educational Institutions. As Digital Solutions Become Vital For Managing Student Data, Attendance, Fee Collection, And Academics, This Research Uses A Descriptive Method And Structured Questionnaires To Assess User Perceptions On Usability, Performance, Support, And Customization. Findings Reveal That 76.5% Of Users Believe Adopting Edship ERP Was The Right Decision, With High Satisfaction In Student Management (76.4%) And Attendance Tracking (52.94%). While 52.9% Would Recommend The System, Concerns Remain Over Mobile Accessibility (41.2% Dissatisfaction) And Technical Issues (70.6% Affected). Statistical Analysis (Chi-square, ANOVA, T-tests) Shows Vendor Reputation, Cost-effectiveness,and User-friendliness Significantly Impact Satisfaction. The Study Concludes That Edship ERP Enhances Institutional Efficiency But Recommends Improvements In Mobile Integration, Support Services, And System Customization To Strengthen Market Presence.

Author: SUDHIN TP

Area of research: Computer Science And Engineering

This Research Presents A Web-based Disease Prediction System, Deployed On Render, Utilizing Machine Learning To Diagnose Diseases Based On User-reported Symptoms. The System Employs An XGBoost Model, Trained On A Medical Dataset, To Predict Diseases With High Accuracy. Users Interact Through A Flask-powered Web Interface, Input Symptoms, And Receive Predictions Along With Precautionary Measures, Medications, And Dietary Recommendations. The System Is Accessible Online, Making It A Convenient Tool For Preliminary Diagnosis. Future Enhancements Include Real-time Symptom Analysis And Mobile Integration.

Author: Dhinakaran R | Jaikrishnan V | Jaisankar S | Kaviraj M | Dr.R.Madhanmohan

Area of research: Electrical Engineering

India Is The Farmland With A Population Of Three-fourths In Agriculture. In Accordance With The Climate And Other Resources Accessible To Them, Farmers Will Grow Multiple Plants In Their Field. But Some Technical Abilities Along With Technological Assistance Are Required To Achieve High Output And Excellent Quality. The Management Of Food Crops Includes Very Close Surveillance, Particularly With Regard To The Treatment Of Illnesses, Which Will Cause Severe Effects After Harvest. This Is Very Necessary For Effective Spraying Of The Pesticide. The Spraying System Is Operated By Wireless Remote Control. The Robot Is Designed To Spray Pesticide/insecticide Directly Onto Individual Lesions Minimizing Wastage Leading To Reduced Consumption Of Chemicals Hence Making The System Cost Effective And Environmentally Friendly. The Targeted Pesticide Delivery Prevents Dispersion Of Chemicals In The Environment. A Prototype Is Developed And Tested On Different Terrain Conditions And Is Found To Operate Efficiently. The Movement Of Robot Is Done Solutions To Enable Precise And Targeted Pesticide Application. In This Context, The Integration Of Robotics And IoT Technology Presents A Promising Avenue For Revolutionizing With Wireless Remote, Motor Driver And The Processor Or Embedded System Is Done Through Microcontroller.

Author: Prof. S. D. Lavange | Shreya Prafull Varade | Supriya Vilas Sarkate | Vaishnavi Bhagwat Hage | Vaishnavi Gajanan Patil | Tejas Gajanan Band

Area of research: FINANCE

Efficient Inventory Management Is Pivotal For Maintaining Cost-effectiveness And Ensuring Customer Satisfaction. This Study Examines The Inventory Management Practices Of Cedicom Electronics, A Prominent Player In The Electronics Distribution Market. The Research Highlights How Cedicom Utilizes A Combination Of Traditional Inventory Control Methods And Cutting-edge Technology To Optimize Stock Levels, Reduce Operational Costs, And Improve Product Availability. Key Inventory Management Strategies Such As Demand Forecasting, Order Quantity Optimization, And Automated Replenishment Systems Are Analysed To Understand Their Impact On Operational Performance. Furthermore, The Study Evaluates The Role Of Inventory Visibility And Real-time Tracking Tools In Enhancing Decision-making Processes And Reducing Stockouts. The Paper Also Delves Into The Challenges Cedicom Faces In Managing Inventory, Particularly In Response To Fluctuating Demand, Product Obsolescence, And Supply Chain Disruptions.

Author: MEGHA TM | Ms. SUMA R

Area of research: Human Resources

This Research Project Focuses On Analyzing The Effectiveness Of The Compensation Management System At Anand Water Meter Manufacturing Co. Pvt Ltd, Kochi, With The Primary Objective Of Studying Its Compensation Practices And Their Impact On Employees. Compensation Management Plays A Crucial Role In Attracting, Retaining, And Motivating Employees, Ultimately Contributing To Organizational Success. In A Competitive Manufacturing Industry, A Well-structured Compensation System Can Enhance Employee Satisfaction And Drive Performance. The Secondary Objectives Of This Study Include Identifying The Existing Compensation Policies, Evaluating Employee Satisfaction With These Policies, And Providing Actionable Recommendations For Improvement. The Study Employs A Combination Of Quantitative And Qualitative Research Methods To Comprehensively Assess The Company’s Compensation Framework. Key Areas Explored Include The Structure Of Fixed And Variable Pay, Allowances, Incentives, Employee Benefits, And How These Elements Align With Employee Expectations And Industry Standards. The Study Also Examines Employees’ Perceptions Of Fairness, Transparency, And Adequacy Of The Compensation System In Relation To Their Roles And Contributions. Research Findings Indicate That While Anand Water Meter Manufacturing Co. Provides A Stable And Competitive Fixed Pay Structure Along With Standard Benefits Such As Provident Fund And Medical Insurance, There Is Moderate Satisfaction Among Employees Regarding Performance-based Incentives And Recognition. The Study Highlights That While Most Employees Appreciate The Security Offered By Fixed Pay, There Is A Desire For A More Robust Incentive System That Rewards Individual And Team Performance. This Project Provides Valuable Insights Into Compensation Management Practices Within The Manufacturing Sector And Offers Practical Suggestions For Creating A More Engaging And Performance-oriented Workplace.

Author: Moushami Mohanan | Dr. K. S Sreejamol

Area of research: Marketing

This Study Explores The Critical Factors That Drive Customer Retention And Growth At Pricol, A Leading Manufacturer In The Automotive Components Industry. As Competition Intensifies And Customer Expectations Evolve, Retaining Existing Customers While Fostering Business Expansion Has Become A Strategic Priority. The Research Investigates Key Determinants Such As Product Quality, Service Responsiveness, Pricing Strategies, Innovation, And Customer Relationship Management. Through A Combination Of Primary Data Collection And Secondary Research, The Study Analyzes How These Factors Influence Customer Loyalty And Long-term Partnerships. The Findings Aim To Provide Actionable Insights That Can Help Pricol Strengthen Its Market Position, Enhance Customer Satisfaction, And Achieve Sustainable Growth In The Dynamic Automotive Sector.

Author: Mr.Sanoj K | Dr Ks Sreejamol

Area of research: Management

This Study Examines Employee Satisfaction And Retention At Star Plastics Pvt Ltd, Focusing On Key Factors That Influence Workplace Engagement And Commitment. Employee Satisfaction Plays A Critical Role In Boosting Productivity And Organizational Success By Directly Impacting Morale, Efficiency, And Turnover Rates. The Research Identifies Several Factors, Including Compensation, Career Growth, Recognition, And Workplace Conditions, That Affect Employee Satisfaction. Key Findings Reveal That While Employees Value Promotion Opportunities And Allowances, There Are Concerns Regarding Rewards, Recognition, Performance-based Incentives, And Overtime Pay. The Workplace Environment, Particularly Ventilation, Emission Control, And Employee Involvement In Decision-making, Also Requires Improvement. Statistical Analysis Demonstrates Significant Correlations Between Rewards, Recognition, Promotion Opportunities, And Performance-based Incentives. However, Gender Does Not Significantly Influence Employees' Perceptions Of Workplace Respect Or Salary Satisfaction. To Improve Employee Retention, The Study Recommends Strengthening Recognition Programs, Revising Compensation Structures, Enhancing Workplace Safety, And Fostering A More Participative Work Culture. These Strategies Are Expected To Improve Job Satisfaction, Reduce Turnover, And Enhance Overall Organizational Performance.

Author: Mr. Sreerag.K | Dr. Ashokan.C

Area of research: CLOUD COMPUTING

Cloud Computing Is A Key Technological Development In The Information Technology Industry. It Is One Of The Best Techniques For Managing And Allocating A Lot Of Information And Resources Across The Entire Internet. Technically Speaking, Cloud Computing Refers To Accessing IT Infrastructure Through A Computer Network Without Having To Install Anything On Your Personal Computer. Businesses Can Modify Their Resource Levels To Match Their Operational Needs By Utilizing Cloud Computing. Organizations And Corporations Can Cut Infrastructural Costs With The Use Of Cloud Computing. Organizations Can Test Their Applications More Quickly, With Better Management, And With Less Upkeep. The IT Team Can Adapt Resources To Changing And Erratic Requirements Thanks To Cloud Computing. There Is Proof That Cloud Computing Has A Role In Everyday Life Thanks To Various Applications In Various Contexts. This Essay Will Cover Every Aspect Of Cloud Computing, Including Its Architecture, Traits, Types, Service Models, Advantages, And Challenges.

Author: S.ASWINI | K.Abinaya | S.Dharshini | B.jaya Priya

Area of research: Human Resource Management

This Study Investigates The Impact Of Job Stress On Employee Turnover At Hedge Finance Limited, Kochi. In Today's Fast-paced Financial Sector, Employees Are Often Subjected To High Levels Of Stress Due To Demanding Workloads, Performance Pressures, And Rigid Deadlines. The Primary Objective Of This Research Is To Examine The Key Sources Of Job Stress And How They Influence Employees' Intentions To Leave The Organization. Data Was Collected Through Structured Questionnaires Distributed Among A Sample Of Employees Across Various Departments. The Findings Reveal A Significant Correlation Between Job Stress And Employee Turnover, Highlighting That Factors Such As Role Ambiguity, Work-life Imbalance, And Lack Of Managerial Support Contribute Greatly To Stress Levels. The Study Also Explores Coping Mechanisms And Retention Strategies That Can Mitigate Stress And Enhance Employee Satisfaction. Recommendations Are Provided To Help Hedge Finance Limited Develop A Healthier Work Environment, Reduce Turnover Rates, And Retain Valuable Human Resources Effectively.

Author: Ms. Neethu. T.K | Mr. Ranjith. R

Area of research: Electronics And Communication Engineering

Automation Is A Significant Part Of Modern Living. Even While Handling Necessities Of Existence Like Food And Medicine, People Constantly Seek Convenience. Automation Includes Time And Energy Savings In Addition To Reduced Human Effort. The Study's Main Goal Is To Use An Arduino Microcontroller To Create An Automated Stationery Vending Machine. As We All Know, A Machine Is A Device That Can Dispense Various Goods More Like An Automated Procedure That Doesn't Require Manual Handling, Which Is Typically Seen In Fast-paced Cities Due To A Fastpaced Lifestyle. This Essay Contrasts A Variety Of Vending Machine Characteristics, Including Size, Timing Restrictions, Speed, And Power Use. The Product's Major Objective Is To Distribute The Item Into The Delivery Compartment From The Level At Which It Is Positioned, Making It Easier To Hold Heavy Things As The Present Vending Machines Cannot Stack Heavy Items Because They Drop From A High To The Low Compartment. Vending Machine Plays An Important Role In Human’s Life For Every Situation. An Automated Stationary Vending Machine System Is Introduced To Reduce The Man Power, Time And Energy. It Is Similar To An ATM Through Which We Get The Required Items At Vending Machine Any Time & Any Place. We Proposed Stationary Vending Machine Which Dispenses Stationary Items Likes As Pen, Pencil, Erasers Etc.

Author: Venkatachalam M | Dhinesh R | Lokesh R | Ilaiyaraja R

Area of research: Human Resources

Camino Infotech Private Limited, Located In Kochi, Is A Growing IT Company Known For Its Dynamic Workforce And Evolving Corporate Culture. As The Demands Of The Modern Workplace Increase, Employee Wellness Has Become A Critical Area Of Focus. Recognizing The Importance Of Maintaining A Healthy And Motivated Workforce, This Study Aims To Evaluate The Existing Employee Wellness Programmes At Camino Infotech. The Need For This Evaluation Arises From The Growing Awareness Around Employee Well-being, Its Impact On Productivity, And The Necessity To Ensure That Wellness Initiatives Align With Employee Needs And Organizational Goals. The Study Explores The Various Wellness Programmes Offered By The Company, Assesses Employee Awareness, Participation Levels, And Satisfaction, And Identifies Potential Barriers To Engagement. Data Was Collected Using Structured Questionnaires And Analyzed Through Percentage Analysis, Chi-square Tests, Correlation Analysis, And The Weighted Average Method. Findings Reveal Key Trends Such As Limited Participation Despite High Awareness, A Preference For In-person Sessions, And Scheduling Challenges. Based On These Insights, The Project Provides Targeted Recommendations To Enhance The Effectiveness Of Wellness Initiatives And Promote A Healthier, More Engaged Work Environment At Camino Infotech.

Author: Nandhana K | Rajkumar Narayanan

Area of research: Human Resource

This Research Examines The Performance Appraisal Policy At Benleng Infotech, Kalamassery, With The Objective Of Evaluating Its Effectiveness In Enhancing Employee Engagement, Satisfaction, And Overall Organizational Performance. In Today’s Highly Competitive Business Landscape, Performance Appraisals Play A Crucial Role In Assessing Employee Contributions, Delivering Constructive Feedback, And Promoting Career Growth. However, The Design And Implementation Of Such Policies Can Differ Widely Between Organizations, Highlighting The Need For An In-depth Analysis Of Their Execution And Impact On Employees. The Primary Objective Of This Study Is To Assess The Effectiveness Of Benleng Infotech’s Appraisal Policy. Supporting Goals Include Identifying The Key Factors That Influence The Policy, Gauging Employee Awareness, And Exploring The Effect Of Appraisals On Motivation. Employing Both Quantitative And Qualitative Research Methods, The Study Explores Various Aspects Of The Appraisal Process—such As The Transparency Of Performance Criteria, Fairness In Evaluation, Frequency Of Feedback, And Their Impact On Job Satisfaction And Motivation. It Also Considers The Role Of Organizational Culture, Leadership Involvement, And Employee Participation In Determining The Success Of The Appraisal System.

Author: Muhsina S | Dr.C Ashokan

Area of research: Human Resources

Talent Acquisition Is Crucial For The Success Of Any Organization As It Ensures The Recruitment Of Skilled, Qualified, And Culturally Fit Individuals Who Contribute To The Company’s Growth And Performance. A Strong Talent Acquisition Strategy Helps Attract Top Talent, Reduces Turnover, Improves Employee Engagement, And Aligns The Workforce With Organizational Goals. By Identifying And Securing The Right Talent, Companies Can Build A Competitive Advantage, Drive Innovation, And Enhance Overall Productivity. Effective Talent Acquisition Also Helps In Creating A Positive Employer Brand And Fostering Long-term Success. This Study Explores The Talent Acquisition Practices At Atmios Technologies, With A Focus On Understanding The Effectiveness Of Current Recruitment Strategies And Identifying Areas For Improvement. The Study Delves Into The Challenges The Company Faces In Attracting And Retaining High-quality Talent, Emphasizing The Role Of Sourcing Methods, Interview Processes, And Candidate Evaluation Criteria. By Examining The Entire Recruitment Lifecycle, This Research Aims To Identify Gaps In The Existing Practices And Provides Actionable Recommendations To Enhance The Quality Of Hire. The Findings Offer Valuable Insights For HR Professionals And Management At Atmios Technologies To Optimize Their Recruitment Processes, Align Them With Organizational Goals, And Build A Stronger Workforce.

Author: Sandra C | Dr. K. S Sreejamol

Area of research: FINANCE

This Paper Presents A Comprehensive Cost-Volume-Profit (CVP) Analysis Of Gayathri Mills, Located In Palakkad, Which Is Engaged In Manufacturing Products Within The Agricultural And Textile Sectors. The Primary Objective Of This Study Is To Assess The Company’s Cost Behavior And Evaluate How Various Cost Factors Affect The Overall Profitability. The CVP Analysis Includes A Detailed Examination Of The Company's Fixed And Variable Costs, Contribution Margin, And The Break-even Point. It Also Evaluates How Changes In Sales Volume, Product Pricing, And Cost Structure Can Influence The Net Operating Income. By Categorizing The Expenses And Assessing Their Variability With Respect To Production Output, The Analysis Provides A Strong Foundation For Managerial Decisions On Pricing, Budgeting, And Expansion Planning. Through Break-even And Target Profit Analysis, The Study Highlights The Level Of Sales Required To Avoid Losses And Identifies The Sales Threshold Necessary To Achieve Specific Profit Goals. This Research Is Vital In Enabling Gayathri Mills To Implement Cost Control Measures And Pricing Strategies That Can Lead To Enhanced Profitability And Long-term Sustainability.

Author: Nandhana S Nair | Ms. Suma R

Area of research: MANAGEMENT

This Study Examines The Impact Of Employee Training And Development On Day-to-day Work Performance At Indo Shell Private Cast Limited, Coimbatore. In The Face Of Rapid Technological Change And Growing Competition, Training Has Become A Strategic Tool For Enhancing Workforce Efficiency And Professional Growth. Using A Census Method, Data Was Collected From All 65 Employees Across Various Roles To Assess The Outcomes Of Different Training Types, Including On-the-job, Off-the-job, And Internal Sessions. Findings Reveal A Strong Link Between Training And Improved Job Readiness, Skill Development, And Confidence, With Experienced Employees Reporting Notable Gains In Technical And Strategic Areas, While Newer Employees Highlighted Increased Adaptability. Despite Positive Feedback, The Study Identifies Challenges Such As Limited Session Frequency, Lack Of Expert Trainers, And Insufficient Post-training Evaluations. Employees Expressed A Need For More Targeted Programs, Including Advanced Technical Skills And Personal Effectiveness Workshops. The Research Recommends A More Structured And Role-specific Training Approach, Supported By Regular Feedback And Improved Trainer Quality, To Maximize Effectiveness And Drive Both Individual And Organizational Growth.

Author: Ms. Anupama Radhakrishnan | Dr.Ks. Sreejamol

Area of research: Computer Science And Engineering

The Rise In Exam Malpractice Has Necessitated Innovative Solutions To Uphold Academic Integrity. Traditional Invigilation Methods Often Fail Due To Human Error And Limited Monitoring Capabilities, Allowing Students To Exploit Blind Spots And Use Prohibited Items. This Project Proposes A YOLO-based Visual Distance Fraudulent Detection System To Monitor Exam Halls In Real Time. Utilizing High-resolution Cameras And AI-driven Object Detection, The System Ensures Automated, Non-intrusive Supervision While Reducing Human Intervention. Future Enhancements, Including AI-based Behavior Analysis And Multi-camera Integration, Will Further Improve Accuracy, Making It A Scalable And Efficient Solution For Secure Examinations.

Author: Mrs. N. Nagajothi | A. Akash | R. Dhillipan | K. Narasimha Rao

Area of research: LIC Of India, Ganapathy, Coimbatore.

Policyholder Satisfaction Significantly Impacts Customer Loyalty, Particularly In The Insurance Sector, Where Complex Products, Premium Rates, And Service Quality Widespread Industry Practices. This Study Investigates The Perception And Preference Of Policyholders Towards Insurance Products Offered By LIC Of India In Coimbatore, Surveying 121 Policyholders To Examine Their Needs, Expectations, And Satisfaction Levels. The Research Explores Various Insurance Products, Including Life, Health, And Pension Plans, To Assess Their Effectiveness In Meeting Policyholders' Requirements And Enhancing Their Loyalty. Key Findings Indicate That Policyholders' Preferences Are Influenced By Factors Such As Premium Rates, Service Quality, And Product Features, And That Effective Product Design And Service Delivery Yield Improved Policyholder Satisfaction, Reduced Lapsation Rates, And Increased Customer Loyalty. This Study Emphasizes The Importance Of Understanding Policyholders' Perception And Preference To Design And Deliver Insurance Products That Meet Their Evolving Needs And Expectations.

Author: Dr. P . Kalaivani | R. Lochana

Area of research: B.com Banking And Insurance

Eam Effectiveness Assessment Measures In Selected IT Companies, Identifying Key Factors Influencing Team Effectiveness, Including Leadership, Communication, And Collaboration, And Revealing That Regular Feedback, Continuous Improvement, Team Building Activities, And Leadership Development Are Essential For Enhancing Team Performance. The Study's Results Are Applicable To Improve Team Effectiveness In IT Companies, Contributing To The Existing Literature On Team Effectiveness And IT Management. The Research Aims To Provide Insights For IT Companies To Enhance Team Performance, Productivity, And Overall Success. The Study's Findings Have Implications For IT Companies Seeking To Enhance Team Performance And Productivity. The Study's Limitations And Future Research Directions Are Also Discussed. The Research Highlights The Need For Further Exploration Of Team Effectiveness In The IT Industry. The Study's Results Can Be Used To Inform HR Practices And Organizational Development Initiatives. The Study's Findings Can Also Be Used To Develop Training Programs For Team Leaders And Members. The Study's Results Have Implications For Team Building And Leadership Development. The Study's Findings Can Be Used To Improve Communication And Collaboration Within Teams. The Study's Results Can Also Be Used To Enhance Team Decision-making And Problem-solving. The Study's Findings Have Implications For IT Companies Seeking To Improve Team Effectiveness. The Study's Results Can Be Used To Inform IT Management Practices. The Study's Findings Can Also Be Used To Develop Strategies For Improving Team Performance. The Study's Results Have Implications For Organizational Success. The Study's Findings Can Be Used To Enhance Organizational Performance.

Author: Dr. Kalaivani P | Karnigadevi K S

Area of research: MANAGEMENT

Effective Receivable Management Are Crucial For Maintaining A Company’s Financial Stability And Ensuring Smooth Cash Flow. Extending Credit To Customers Is A Common Practice That Helps Businesses Expand Their Sales, But It Also Comes With Risks Such As Delayed Payments And Bad Debts. This Project, “Evaluation Of Credit Policies And Receivable Management At V Tork Controls, Coimbatore,” Aims To Assess The Efficiency Of The Company’s Receivables Management. V Tork Controls, A Manufacturer In The Industrial Automation Sector, Deals With Various Clients On A Credit Basis, Making It Essential To Have Strong Credit Control Mechanisms In Place. The Study Analyses Key Aspects Of Credit Management, Including The Credit Approval Process, Payment Terms, Collection Policies, And Bad Debt Management. It Also Compares The Research Methodology Involves Both Primary And Secondary Data Collection, With Insights Gathered From Company Financial Reports, Discussions With Finance Personnel, And Market Data.

Author: Gopika. E | Ms.R. Suma

Area of research: MBA

Training And Development Have Become Essential Pillars For Enhancing Employee Performance And Maintaining A Competitive Advantage In Today's Dynamic Business Environment. This Study Explores The Impact Of Training And Development On Employee Performance, With A Specific Focus On Indo Shell Private Cast Limited, Coimbatore. Using A Census Methodology And A Sample Of 65 Employees, The Research Evaluates How Different Types Of Training—such As On-the-job, Off-the-job, And Internal Training—contribute To Skill Development, Job Efficiency, Career Growth, And Workplace Engagement. The Findings Reveal That Most Employees Have Participated In Formal Training Programs, With Off-the-job Training Being The Most Prevalent. Experienced Employees Reported Significant Benefits In Terms Of Skill Enhancement And Career Advancement, While Those With Less Experience Found Training Helpful For Building Confidence. Despite These Positives, Challenges Such As Inadequate Training Duration, Insufficient Trainer Expertise, And Lack Of Frequent Sessions Were Identified As Barriers To Maximizing Performance Outcomes. The Study Also Highlights The Importance Of Aligning Training With Job Roles And Performance Goals, And Recommends The Introduction Of Technical Skill-building Modules, Post-training Evaluations, And Hands-on Learning Methods. Ultimately, This Research Underscores That While Training And Development Positively Influence Employee Performance, Organizations Must Address Existing Gaps To Fully Realize Their Potential Benefits.

Author: Mr. Manu Titus Mathew | Dr. KVS Raj

Area of research: Management - HR

Employee Welfare Measures Play A Crucial Role In Enhancing Job Satisfaction, Motivation, And Retention, While Inadequate Provisions Can Lead To High Turnover, Affecting A Company’s Reputation And Performance. This Study Examines Employee Satisfaction And Awareness Regarding Welfare Measures At V4C Solutions Pvt. Ltd., Kochi, With The Primary Objective Of Assessing Satisfaction With Existing Policies. It Also Aims To Identify Available Welfare Facilities, Evaluate Employee Contentment, And Analyze The Impact Of These Policies On Performance. By Exploring Employees’ Perceptions, The Study Highlights The Strengths And Weaknesses Of Current Welfare Initiatives, Helping V4C Solutions Refine Its Strategies To Align With Industry Standards And Create A Supportive Work Environment. A Well-structured Welfare Policy Fosters A Positive Workplace Atmosphere, Improving Morale And Commitment. The Findings Emphasize The Need For Continuous Evaluation And Enhancement Of Welfare Measures To Meet Employee Expectations And Industry Benchmarks. Ultimately, This Research Will Help V4C Solutions Strengthen Its Welfare Framework, Boosting Satisfaction, Reducing Turnover, And Enhancing Overall Productivity For Long-term Success.

Author: Ms. Fathima Rizwana P | Dr KS Sreejamol

Area of research: Data Analysis

Crime Remains A Critical Concern, Necessitating Advanced Safety Solutions. The Existing Fuzzy-BasedGeo-Spatial Crime Category Prediction System Integrates Fuzzy Logic With GIS For Crime Mapping And Safe Route Suggestions. However, It Faces Limitations Such As Manual Tuning Of Fuzzy Rules, Dependence On Real-time Data Accuracy, And Imprecise Crime Categorization. These Drawbacks Reduce Its Scalability And Adaptability To Evolving Crime Trends. To Overcome These Challenges, This Project, A Safety Recommendation System By Analyzing Crime Data Using Large Language Models, Introduces An AI-driven Approach. By Leveraging Large Language Models (LLMs), The System Dynamically Analyzes Real-time And Historical Crime Data, Eliminating Manual Rule Tuning And Improving Predictive Accuracy. It Collects User-specific Inputs Such As Location Details To Assess Crime Risks And Provide Safety Recommendations. Unlike GIS-based Fuzzy Models, This System Enhances Predictive Precision By Continuously Updating Crime Insights. Real-time Data Analysis Ensures Up-to-date Safety Recommendations, Enabling Users To Make Informed Decisions. By Integrating AI-driven Crime Analysis With User-focused Safety Suggestions, This System Offers A Scalable, Proactive Solution For Crime Prevention.

Author: Janani K | Mahalakshmi S | Nawfiya M | Nithyasri G | Nageswari S | Gomathi V

Area of research: Hr

This Study Explores The Impact Of Workplace Culture On Employee Behavior At Reshmi Industries, A Textile Winding Manufacturing Company. The Research Examines Key Cultural Factors, Including Leadership Style, Communication Patterns, Organizational Values, And Employee Engagement, To Understand Their Influence On Productivity, Job Satisfaction, And Retention. Using Qualitative And Quantitative Methodologies, Data Was Collected Through Surveys And Interviews With Employees Across Various Departments. The Findings Highlight The Significance Of A Positive Workplace Culture In Fostering Motivation And Efficiency While Identifying Potential Areas For Improvement. The Study Provides Recommendations For Enhancing Workplace Culture To Optimize Employee Performance And Organizational Growth.

Author: Ms. Arathy.K | Dr KS Sreejamol

Area of research: SOCIAL STUDIES

This Study Explores The Socio-economic Conditions Of Agrahara-Samakulam Village Under The Unnat Bharat Abhiyan (UBA) Scheme. The Research Focuses On Key Aspects Such As Education, Healthcare, Employment, Infrastructure, And Sanitation. Data Was Collected Through Field Surveys, Interviews, And Secondary Sources To Understand The Living Standards And Challenges Faced By Villagers. The Study Highlights The Impact Of UBA Initiatives In Promoting Rural Development And Self-reliance. It Also Identifies Gaps In Implementation And Areas Needing Further Intervention. Findings Suggest Improvements In Basic Amenities And Awareness Among Villagers Due To The Scheme. However, Issues Like Underemployment And Inadequate Healthcare Persist. The Study Emphasizes The Need For Continuous Monitoring And Community Participation. Overall, The Research Provides Insights For Policy Makers And Development Agencies To Enhance Rural Welfare Through UBA.

Author: Dr.P.Suganya | Mrs. T. Sreegeetha | Mr. R. Varma

Area of research: Civil Engineering

Industrial Wastewater, Especially From Textile Industries, Is Loaded With Harmful Contaminants Like Methylene Blue Dye And Lead (Pb²⁺) Ions, Which Can Seriously Threaten Water Quality And Aquatic Life. Traditional Treatment Methods, Such As Chemical Precipitation And Membrane Filtration, Tend To Be Costly And Often Create Secondary Pollutants. As A More Sustainable Option, Biosorption Using Affordable, Eco-friendly Adsorbents Has Gained Traction For Its Effectiveness. In Our Study, OPAC Showed Better Adsorption Efficiency Compared To CGAC, Likely Due To Its Larger Surface Area (867.5 M²/g Vs. 812.3 M²/g) And Higher Porosity. The Adsorption Process Was Driven By Electrostatic Interactions, Pore Diffusion, And Surface Complexation. These Results Underscore OPAC And CGAC As Promising, Cost-effective Adsorbents, Providing A Practical Solution For Treating Industrial Wastewater. Future Research Should Aim At Adsorbent Regeneration And Scaling Up For Better Environmental Sustainability.

Author: S K Dinesh | K Soundhirarajan

Area of research: Physics- Material Science

Growth Of Crystals Demands Theoretical Knowledge Of Thermodynamics, Kinetics, And Transport Processes. Crystal Growth, A Fundamental Process In Material Science Involves The Controlled Formation Of Crystalline Solids From A Supersaturated State, Encompassing Nucleation And Subsequent Growth Of The Crystal Lattice. In Practice, Some General Aspects Have To Be Considered, Including Choice Of Raw Materials, Conditions, Methods, And Characterization. The Laboratory Techniques Of Crystal Growth Are Discussed. Economical Aspects Dominate The Developments In The Future, That Is, Growing Of Larger Crystals At Higher Quality To Raise Yields And Device Performance. This Paper Will Explore The Aspects Of Crystal Growth, Including The Different Characterization Techniques Of Nonlinear Optical Materials Ammonium Dihydrogen Phosphate Doped With Potash Alum.

Author: Dr. L. Jothi | P. Ragavi

Area of research: Computer Science And Engineering

Crowdfunding Platforms Have Revolutionized The Way Individuals And Startups Raise Capital. However, The Current Centralized Models Pose Risks Such As Lack Of Transparency, Security Vulnerabilities, And High Transaction Fees. This Project Proposes A Decentralized Crowdfunding System Built On Blockchain Technology To Ensure Secure, Transparent, And Tamper-proof Transactions Between Fundraisers And Donors. Utilizing Smart Contracts On Ethereum, Our System Automates The Funding Process, Enforces Funding Goals, And Returns Funds To Donors If Targets Are Not Met. The Aim Is To Enhance Trust, Reduce Intermediaries, And Empower Global Fundraising Efforts.

Author: Mrs. M. Karthika | Barath Kumar S | Aryan Reddy A | Sandeep P | Prabhu V

Area of research: Information Security

In This Era Of A Digitally Driven World, Securing Online Communication Is Essential To Protect Sensitive Information. Steganography Is A Powerful Technique That Conceals Messages Within Digital Media Such As Images Or Audio Files, Ensuring Covert Data Transmission. This Paper Explores The Fundamental Concepts Of Digital Steganography, Highlighting Its Necessity And Various Forms. It Specifically Examines The Least Significant Bit (LSB) Substitution Method, Blowfish Encryption, And LSB Matching, Which Embed Secret Data Within The Least Significant Bits Of An Image. Additionally, A Comparative Analysis Is Conducted Between LSB And Other Steganographic Techniques Based On Cover Media Quality, Imperceptibility, And Performance Metrics. Furthermore, An Estimation Is Made Regarding The Maximum Amount Of Data That Can Be Embedded In An Image Without Noticeable Distortion. This Study Emphasizes The Significance Of Steganography In Enhancing Digital Security And Ensuring Secure Communication Over The Internet.

Author: Muniyan D | Shabeer Basha S | Santhosh Kumar I | Needhu C

Area of research: Civil Engineering

The Modulus Of Elasticity Is The Most Important Parameter For Determining The Strain Behaviour Of Concrete And Also Shows The Effect Of Strength And Stiffness. Reinforced Cement Concrete (RCC) Is Widely Used Construction Material Which Is Heterogeneous In Nature. Many Of The Standard Codes Considers Elasticity Of Concrete In Design And Analysis Of RCC Structure. Considering Only Elasticity Of Concrete In Design And Analysis Of RCC Structure Will Not Give The Exact Value Of Deformations Under Loading. Present Paper Is An Attempt To Study The Comparative Values Of PCC And RCC With Varying Percentage Of Steel. The Column Of Two Cross Sections 250 X 250 X 3000 And 350 X 350 X 3000 Is Considered With Varying Percentage Of Reinforcement Ranging From 0.72% To 2.01% For M20, M25 And M30 Grade Of Concrete. The Analysis Work Is Done With FEA Software ABAQUS.

Author: Visar Jain | Anubhav Rai

Area of research: MBA

Hedge Equities, A Leading Financial Services Firm In Kochi, Operates In A Highly Competitive And Fast-evolving Industry. To Sustain Growth And Ensure Optimal Employee Performance, It Is Essential To Assess And Enhance The Skill Levels Of Its Workforce. A Systematic Training Need Analysis At Hedge Equities Helps In Determining Areas Where Employees Require Further Development, Whether In Technical Skills, Regulatory Compliance, Customer Relationship Management, Or Financial Advisory Services. This Project Titled "Training Need Analysis Of Employees At Hedge Equities, Kochi" Aims To Examine The Current Training Practices, Identify Skill Gaps, And Recommend Strategies For Enhancing Employee Competency. The Study Focuses On Evaluating Training Effectiveness, Aligning Training Initiatives With Business Goals, And Understanding Employee Perspectives On Learning And Development Opportunities.

Author: Ms. Nandhana.R | Mr.Rajkumar Narayanan

Area of research: Management

This Study Examines The Impact Of Social Media On The Promotional Activities Of Modern Dairy Machines Pvt. Ltd., Focusing On Customer Engagement, Brand Awareness, And Purchasing Behavior. Based On Data From 149 Respondents In Coimbatore, Statistical Analysis Reveals YouTube (92.6% Preference) As The Most Influential Platform, Followed By Instagram And Facebook. Video Content, Live Q&A Sessions, Testimonials, And Product Demos Drive Engagement, While Pricing And Social Media Reviews Significantly Impact Purchase Decisions. Challenges Include Slow Company Responses, Irrelevant Content, And Insufficient Product Details. The Study Recommends Enhancing Customer Support, Interactive Engagement, And Tailored Content While Leveraging Discounts And Promotions To Strengthen Brand Loyalty.

Author: HARITHA S | Hariharan N | Venkata Kailash K

Area of research: Mechanical Engineering

A Mini Hydroelectric Power Plant Is A Renewable Energy Solution Designed To Generate Electricity By Harnessing The Kinetic And Potential Energy Of Flowing Water From Small-scale Water Sources Like Streams, Rivers, Or Canals. These Systems Are Typically Classified As Having A Capacity Of Up To 10 Megawatts, Making Them Ideal For Rural Or Remote Areas Where Large-scale Infrastructure Is Impractical. This Technology Operates By Channeling Water Through A Turbine, Which Then Drives A Generator To Produce Electricity. Mini Hydro Systems Are Cost- Effective, Environmentally Friendly, And Relatively Simple To Maintain, Making Them An Excellent Option For Sustainable Energy Production. They Also Provide Consistent Power Output, Unlike Intermittent Renewable Sources Such As Solar Or Wind Energy.

Author: Bhande Apeksha.R | Mohite Sakshi .S | Gavhane Snehal .S | Rathod Aarti.H | Prof. Bidve.M.A

Area of research: Computer Science And Engineering

Agriculture Remains A Cornerstone Of Livelihoods In Countries Like India, Yet Farmers Often Struggle With Crop Selection And Nutrient Management Due To Limited Access To Data-driven Guidance. This Paper Introduces An Intelligent Farming Framework That Harnesses Artificial Intelligence (AI) To Deliver Actionable Insights For Crop Selection And Fertilizer Recommendations. By Integrating Machine Learning (ML) Models—Random Forest, Naïve Bayes, Support Vector Machine (SVM), And Logistic Regression—with A Majority Voting Ensemble, The System Predicts Suitable Crops Based On Soil And Environmental Factors With High Accuracy. Additionally, A Rule-based Approach Provides Fertilizer Suggestions By Analysing Nutrient Deficiencies. A Unique Chatbot, Powered By Google Gemini, Enhances User Interaction By Offering General Farming Advice While Deliberately Avoiding Responses Related To The System’s Pre-existing Crop And Fertilizer Tools To Maintain Modularity. Furthermore, A ResNet9-based Plant Disease Classification System Identifies 38 Disease Categories From Leaf Images With Near-perfect Test-set Accuracy, Enabling Early Detection. Experimental Results Demonstrate That The Random Forest Model Achieves A Peak Accuracy Of 99%, Outperforming Other Learners. This AI-driven Solution Empowers Farmers With Reliable, Accessible Support To Optimize Yields And Reduce Losses.

Author: K.Ravikumar | M.Nithishkumar | S.Karthikeyan | K.Sanchay | V.Gokul

Area of research: Deep Learning

This Project Introduces A Real-Time Violence Detection System Using Deep Learning To Analyze Video Footage And Live CCTV Streams, Enhancing Public Safety Through Automated Surveillance. Traditional Monitoring Relies On Human Oversight, Limiting Its Effectiveness In Large-scale Environments. In Phase I, The System Uses CNN To Process Recorded Video For Frame-level Violence Detection And Individual Identification. Due To CNN’s Limitations In Speed And Feature Extraction, Phase II Integrates DenseNet For Real-time Detection, Which Proved Significantly Faster And More Accurate Through Comparative Analysis. DenseNet’s Dense Connectivity Enables Better Feature Reuse And Improves Overall Performance. Implemented In MATLAB, The System Provides Real-time Alerts, Offering A Scalable And Effective Solution For Modern Security And Public Safety Applications.

Author: Nirmal S | Ragavi S | Yabesh J | Dr. Maya Eapen

Area of research: ECE

This Research Aims To Design An Advanced Vehicle Tracking And Immobilization System Utilizing GSM And GPS Technologies To Enhance Vehicle Security And Management. By Leveraging GPS For Real-time Location Tracking, The System Provides Accurate Monitoring Of Vehicle Movements And Locations. The Integration Of GSM Technology Allows For Remote Communication And Control, Enabling Users To Send Commands To The Vehicle For Immobilization In Cases Of Theft Or Unauthorized Usage. The System Features A Chokage Mechanism That Can Remotely Disable The Vehicle, Offering Immediate Response Capabilities To Security Breaches. Additionally, Robust Encryption And Secure Communication Protocols Ensure Data Privacy And Protection Against Unauthorized Access. This Solution Combines Technological Advancements To Deliver A Comprehensive And Reliable Vehicle Security System Develop A Vehicle Tracking System Using GSM And GPS To Monitor Real-time Location And Movement, With Features To Detect And Respond To Unauthorized Usage Or Theft. Integrate A Remote Immobilization Mechanism To Disable The Vehicle In Emergencies. Ensure Secure Communication And Data Encryption To Protect Against Unauthorized Access And Maintain Privacy. Existing Vehicle Position Estimation Methods Often Rely On GPS, Which Faces Limitations In Tunnels And Widespread Application. This Study Proposes A Highway Vehicle Position Estimation Method Using ETC Transaction Data, Short-term Driving Styles, Road Characteristics, And Achieving An Error Of Less Than 50m Over 2km.—

Author: Dr.A.PARIMALA GANDHI | V.DHARANIDHARAN | K.HARIPRASATH | A.MOHAMMED THALHA

Area of research: FINANCE (GST)

The Goods And Services Tax (GST) Was Introduced In India In 2017 As A Unified Tax Framework Aimed At Improving Compliance, Transparency, And Efficiency In Business Operations. While Large Enterprises Have Adjusted Well To GST, Small And Medium Enterprises (SMEs) Have Faced Significant Challenges, Particularly In Compliance Costs, Digital Adoption, And Working Capital Management. This Study Investigates The Impact Of GST On SMEs Through An Empirical Analysis Of 50 Indian SMEs Across Various Sectors. Using Statistical Techniques Such As Paired T-tests, Regression Analysis, And Revenue Trend Visualization, This Research Examines Financial Performance, Compliance Burdens, And Revenue Expansion Trends Pre- And Post-GST. The Findings Indicate That GST Has Significantly Improved Profitability And Working Capital Efficiency While Posing Initial Compliance Challenges. The Study Provides Insights Into Policy Enhancements And Strategic Recommendations For SMEs To Leverage GST Effectively.

Author: Saran R A | Dr. Shrinivas Patil

Area of research: Computer Science And Engineering

The Crop Recommendation System Uses Machine Learning To Analyze Historical And Seasonal Rainfall Data, Helping Farmers Select The Most Suitable Crops For Specific Regions. By Integrating Soil Properties, Weather Patterns, And Crop Needs, It Enhances Crop Planning Accuracy. The System Promotes Sustainable Farming By Improving Water Conservation And Climate Resilience. It Reduces Crop Failure Risks Due To Weather Unpredictability And Supports Efficient Resource Allocation. This Innovative Approach Boosts Agricultural Productivity And Sustainability Across Diverse Environments.

Author: Sasikala R | Riba Sharon J B | S Sindhujas | Vasundharaa R N

Area of research: Electronics And Telecommunication

Wind Turbines Play A Crucial Role In Renewable Energy Generation But Are Prone To Mechanical And Electrical Faults, Leading To Reduced Efficiency And High Maintenance Costs. This Paper Presents A Real-time Fault Monitoring And Diagnosis System Using Arduino Uno, Temperature, Vibration, And IR Sensors, Along With Wi-Fi (ESP8266/ESP32) And GSM (SIM800L/SIM900A) Modules For Remote Data Transmission Via Thing Speak Cloud. The System Continuously Monitors Turbine Parameters, Detects Faults Early, And Provides Real-time Alerts To Minimize Downtime And Optimize Maintenance Schedules. This Approach Enhances Turbine Reliability, Efficiency, And Operational Performance, Making Wind Energy Systems More Sustainable And Cost-effective.

Author: Prashant Bansode | Yogeshwar Kadam | Vedika Parmar | Prof. Kanchan Shirbhate

Area of research: MACHINE LEARNING

Author: S.GAYATHRI | THANUS S | ROHAN Y | SUBISH RAJ S

Area of research: CLOUD COMPUTING

Cloud Computing Is Becoming The Main Computing Model In The Future Due To Its Benefits As High Resource Utilization Rate And Save High Cost Of Performance. In Cloud Data Sharing And Storage Of Data Are Important Activities, So Security Is The Most Essential Part Of Cloud Computing. The Security Of The Stored Data And Information Is One Of The Major Challenges In Cloud Computing. As Cloud Computing Features Have Data Integrity, Data Availability And Data Confidentiality, Reliability Is Also One Of The Important Factors For Cloud Computing Resources For Maintaining Higher User Satisfaction And Business Continuity. Use Of Data Security Makes The Data Protected From Any Malicious Attack, Fabrication And Modification. Reliability In The Cloud Means The Ability Of The System To Return The Expected Results To The Users, In Spite Of Machine Failure. A Good Reliable System Will Abstract The Failures From The User As Much As Possible With Little Or No Delay In The User's Task Execution Time. Using The Hybrid Data Security Mechanism With Network Coding, The Reliability Can Be Enhanced.

Author: Mr.R.Karthikeyan | Mr.B.Harish Sriram | Ms.M.Dhaslima Shafreen | Mr.P.Marimuthu

Area of research: Engineering

Organizations Face Challenges In Managing Data From Various Sources, Including Databases, APIs, And External Platforms. Data Inconsistency, Redundancy, And Inefficiencies Hinder Effective Analysis. To Address These Issues, An ELT (Extract, Load, Transform) Approach, Combined With MongoDB And Data Visualization Solutions, Can Be Implemented. This Involves Extracting Data From Diverse Sources, Loading It Into A Storage System, Performing Transformations Within MongoDB To Clean, Standardize, And Structure The Data For Analysis, And Using Data Visualization Tools To Present The Transformed Data In A Meaningful Way. This Approach Offers A Streamlined, Scalable Framework For Managing Multi-source Data, Optimizing Data Quality, And Facilitating Decision-making Insights.

Author: Prof. Sheetal Shimpikar | Rajashree Deokar | Barsharani Padhy | Sakshi Sobale | Shravani Patil

Area of research: Cryptography Techniques

Cryptography, The Science Of Secure Communication, Plays A Vital Role In Ensuring Key Terminologies Of Data Security Across Various Domains, Including Secure Communications, Financial Transactions, And The Internet Of Things (IoT). This Survey Explores The Evolution Of Cryptographic Techniques, From Classical Techniques To Post-Quantum Innovations. It Dives Into Advanced Concepts Of Cryptography, Such As Hash Functions, Post-quantum Algorithms, And Lightweight Algorithms Tailored For Resource-constrained Devices. Emerging Areas, Such As Neural Network-based Encryption And EEG-driven Key Generation, Are Also Examined To Enhance System Robustness And Security. The Paper Reviews The Comparative Performance Of Cryptographic Algorithms Based On Performance Metrics Like Processing Time, Throughput, Power Consumption, And Resistance To Attacks, Addressing Their Applicability In Diverse Environments. Furthermore, It Examines Challenges Such As Implementation Gaps, Vulnerabilities To Side-channel And Timing Attacks, And Ethical Concerns In Balancing Privacy With Regulation. With The Rise Of Quantum Computing And The Increasing Complexity Of Cyber Threats, The Paper Emphasizes The Importance Of Innovation In Cryptographic Research, Including Quantum-resistant Algorithms And Adaptive Systems For Emerg- Ing Technologies Like Blockchain, Cloud Computing, And The Metaverse. By Analyzing Current Trends And Future Directions, This Survey Provides A Comprehensive Understanding Of Cryptography’s Critical Role In Securing The Digital World And Underscores The Need For Continuous Advancements To Address Evolving Threats.

Author: R.Sarathi | A.Bala Ayyappan | Dr.T.Gobinath

Area of research: MOBILE APPLICATION DEVELOPMENT

This Paper Presents A Web-based Platform Designed To Bridge The Gap Between Farmers And Consumers By Eliminating Intermediaries In The Agricultural Supply Chain. The System, Developed Using HTML, CSS, And Python (Flask), Provides A Transparent And Efficient Marketplace For Fresh, Locally-grown Produce. Farmers Can List Products, Manage Inventory, And Set Prices, While Consumers Benefit From A User-friendly Interface For Browsing, Purchasing, And Tracking Orders. Key Features Include Secure Payment Gateways, Real-time Inventory Updates, And Role-based Access For Farmers, Consumers, And Administrators. The Platform Aims To Enhance Economic Sustainability For Small And Medium-scale Farmers While Promoting Eco-friendly Practices And Consumer Trust. Future Enhancements May Include AI-driven Recommendations, Mobile App Integration, And Advanced Analytics For Demand Prediction.

Author: Yaswinkumar M | Mohanakrishnan M | Vengateshwaran A | Subasree

Area of research: Computer Application

Distributed Denial Of Service Attacks Have Become A Great Concern For Security In Software Defined Networking(SDN), As They Mostly Overload Centralized Security Mechanisms. In This Work, A Federated Learning-Based Intrusion Detection System(FL-IDS) Using Convolutional Neural Networks(CNN) And Long Short TermMemory(LSTM) Networks Is Proposed. Clients Train CNN-LSTM Models Locally On Network Traffic, Preserving Data Privacy. The Federated Server Aggregates These Models Securely, Using Differential Privacy Techniques. The Trained Global Model Is Then Deployed In SDN Switches To Analyze Real-time Traffic, With Packets Classified According To Specific Attributes: Size, Protocol Type, And Time Intervals. Once An Attack Is Detected, The System Policy On The SDN Switch Is Updated So That Threats Will Be Mitigated Dynamically. By Decentralizing Intrusion Detection, This Approach Increases Accuracy While Protecting Sensitive Data.

Author: J.Mohamed Rashid | Dr.S.Peer Mohamed Ziyath

Area of research: Engineering

The Presents A Novel System For Home Automation, Leveraging Hand Gesture Recognition Integrated With IoT- Enabled Voice Conversion To Support Individuals With Speech Impairments. The System Utilizes An Accelerometer To Detect Hand Gestures While Monitoring Key Physiological Parameters, Including Body Temperature, Heart Rate, And SpO2 Levels. Designed To Translate Hand Gestures In To Text And Voice Formats, The System Aims To Facilitate Effective Communication For Individuals Unfamiliar With Sign Language, Thus Bridging The Gap Between Speech-impaired Individuals And Others. Hand Gestures, Being Intuitive And Time-efficient, Are Emphasized Over Other Bodily Gestures Such As Head Or Facial Movements Due To Their Ability To Convey Complex Ideas Effectively. The Proposed System Not Only Addresses Communication Barriers But Also Integrates With Smart Home Environments, Allowing Users To Perform Automated Tasks Through Gesture-based Inputs. This Enhances The Quality Of Life For Users By Combining Accessibility With Practicality. The Project Offers A Scalable And User-friendly Solution By Integrating Gesture Recognition With IoT And Voice Technology, Ensuring Seamless Inter Action Between Individuals With And Without Speech Disabilities. By Fostering Inclusivity And Improving Communication Efficiency, This Work Contributes To Advancements In Assistive Technologies And Under Scores The Potential Of Gesture-based Systems In Real-world Applications

Author: Tamilmani T | Sakthivel P | Shanthosh B J | Vijay Murugan S

Area of research: Computer Engineering

The Rapid Growth Of Electronic Devices Has Led To An Exponential Increase In Electronic Waste (e-waste), Posing Significant Environmental And Health Risks. Traditional Methods Of Managing And Tracking E-waste Are Often Fragmented, Inefficient, And Lack Transparency. To Address These Challenges, We Propose A Blockchain-based Internet Of Things (IoT)-enabled E-waste Tracking And Tracing System. The System Integrates IoT Sensors And Blockchain Technology To Provide Real-time Monitoring, Secure Data Management, And Transparent Tracking Of E-waste From Collection To Disposal. IoT Devices, Such As RFID Tags And Environmental Sensors, Are Embedded In E-waste Items, Enabling Automated Collection And Transmission Of Data, Including The Condition, Location, And Recycling Status Of The Items. This Data Is Securely Recorded On A Blockchain, Ensuring Immutability, Traceability, And Transparency. The Decentralized Nature Of Blockchain Eliminates The Need For Intermediaries, Reduces The Risk Of Fraud, And Enhances Accountability Throughout The E-waste Lifecycle. The Proposed System Aims To Optimize E-waste Management Processes, Improve Recycling Rates, And Reduce The Adverse Impact Of E-waste On The Environment. Furthermore, It Offers Stakeholders, Including Manufacturers, Recyclers, And Regulatory Authorities, A Reliable And Efficient Platform For Monitoring And Ensuring The Responsible Disposal And Recycling Of Electronic Waste.

Author: Mr. Vaibhav Gawaye | Prof. Manjiri Karande | Mr. Suhas Wankhade | Mr. Rohan Sarkate | Mr. Mayur Hirole

Area of research: COMMERCE

Social Media Has Become A Powerful Force In Shaping Consumer Behavior, Particularly In The Electronics Industry. Platforms Like Facebook, Instagram, YouTube, And TikTok Influence How Consumers Discover, Evaluate, And Purchase Products. Businesses Leverage These Platforms For Direct Engagement, Targeted Marketing, And Content-driven Strategies. Consumers Rely On Product Reviews, Influencer Endorsements, And User-generated Content To Make Informed Decisions, Shifting Control From Traditional Marketing To Peer-driven Influence. This Evolving Digital Landscape Has Transformed How Electronics Brands Connect With Their Audiences, Emphasizing The Growing Role Of Social Media In Modern Purchasing Decisions.

Author: Dr. A.R. Kanagaraj | Mr. CS Cheran

Area of research: Computer Science Engineering

Kidney Diseases Are An Increasingly Important Global Health Problem For Millions Of People A Year, For Which Early Detection And Accurate Prediction Play A Major Role In Improving Patient Outcomes And Reducing The Burden On Healthcare Systems. This Project Seeks To Develop A Predictive Model Of Kidney Disease Diagnosis Based On Machine Learning That Assumes Control Over Clinical Data Through Highly Advanced Analytical Techniques. The Dataset Was Preprocessed So That Missing Values Were Handled, Features Standardized, And The Most Relevant Predictors Chosen. Exploratory Data Analysis (EDA) Was Also Conducted To Look For Any Type Of Patterns And Relationship Among Clinical Attributes. Two Machine Learning Algorithms Were Used For The Construction Of The Predictive Models - Random Forest And Decision Tree. Training And Validation Of Models Through A Structured Approach Ensure Robust Evaluation Through Metrics Such As Accuracy, Precision, Recall, And Confusion Matrices. Data Visualization Techniques Were Also Employed To Enhance Interpretability And Generate Actionable Insights In The Dataset. Results The Results Have Shown That The Implemented Models Work Well, With The Random Forest Algorithm Performing Best In Terms Of Accuracy And Reliability. Therefore, This Project Serves As A Possible Application Of ML In The Clinical Field To Alert Healthcare Professionals When Kidney Diseases Would Commence. This Early Detection Could Ultimately Serve To Improve A Patient's Situation While Providing An Interface For Predictive Analytics In Clinical Decision-support Systems. The Accuracy Of Light GBM Is 95%. XG Boost Is 94%.

Author: M.Periyakaruppan | A.BalaAyyappan | Dr.T.Gobinath

Area of research: Mechanical Engineering

Waste Management And Segregation Is A Much-needed Process In Metro Cities And Urban Areas Due To Spreading Of Diseases. It Is Estimated That India Produces 42.0 Million Tons Of Municipal Solid Waste Annually At Present. Waste Lying Littered In The Surrounding, Dumped On Open Lands, Becomes A Major Problem For Various Types Of Disease Causing Bacteria And Viruses Hence, Segregation, Transport, Handling And Disposal Of Waste Must Be Managed Properly To Minimize The Risks Of The Public And Environment. When Mixed Dry And Wet Waste Breaks Down In Lowland, It Creates Nasty Greenhouse Gases. Segregation Makes It Attainable To Utilize And Recycle The Waste Effectively. This Waste Segregator System Can Easily Segregate Waste. When Waste Is Thrown In The Pipe, IR Sensor Will Sense The Waste. Waste Is Divided Into Three Categories Namely Wet, Dry And Metallic. Another Sensor Will Sense The Garbage Category. As Per The Algorithm Used, If The Waste Is Metallic Then The Mechanism Will Bring The Metal Collecting Bin Below The Pipe And With The Help Of Servo Motor The Waste Will Fall Into The Metal Bin. Similarly, The Process Will Repeat If Wet Waste Is Sensed. If The Sensor Doesn’t Activate The Sensor Category, Then The Waste Will Be Considered To Be A Dry Waste.

Author: Kote Amit S. | Dongre Vedant V. | Kulkarni Atharva R. | Kare Prashant B. | Prof. Kadam Gunwant J

Area of research: Civil Engineering

Heavy Metal Contamination In Wastewater Poses Significant Environmental And Health Hazards, Necessitating Efficient Removal Strategies. Industrial Discharges Contribute To The Accumulation Of Toxic And Carcinogenic Heavy Metals In Aquatic Ecosystems, Leading To Severe Consequences For Both Human And Marine Life. Among The Various Remediation Techniques, Adsorption Has Emerged As A Highly Effective, Cost-efficient, And Environmentally Sustainable Method For Heavy Metal Removal. This Study Explores The Potential Of Biochar Derived From Cowpea Husk Powder Through KOH-assisted Pyrolysis As A Novel Adsorbent For Heavy Metal Remediation. The High Surface Area And Enhanced Adsorption Capacity Of Biochar Significantly Improve Metal Removal Efficiency. Experimental Findings Demonstrate A 93% Removal Efficiency For Heavy Metals At An Initial Concentration Of 10 Ppm And PH 8. The Study Further Investigates The Impact Of Key Operational Parameters, Including Adsorption Time, PH Variation, Feed Concentration, And Adsorbent Dosage, On Metal Removal Efficiency. The Results Underscore The Viability Of Biochar As A Sustainable Alternative To Conventional Adsorbents For Wastewater Treatment, Offering A Promising Solution For Mitigating Heavy Metal Pollution.

Author: S.Mohana | T.Sathieshkumar

Area of research: Civil Engineering

Tannery Industries Release Substantial Quantities Of Effluent With High Amounts Of Organic Matter, Heavy Metals, And Suspended Particles, Resulting In Significant Environmental Damage. Ranipet, Tamil Nadu, Is A Significant Leather Processing Hub Where Untreated Effluents Have Prompted Significant Concerns. Traditional Chemical Coagulants, Such Alum And Ferric Chloride, While Effective, Lead To Secondary Pollution And Sludge Disposal Challenges. This Research Examines The Efficacy Of Moringa Oleifera Seed Extract And Tamarindus Indica Seed Powder As Natural Coagulants For The Treatment Of Tannery Effluent. Wastewater Samples Obtained From Tannery Units Underwent Jar Tests To Assess Critical Parameters, Such As Turbidity, Chemical Oxygen Demand (COD), Total Suspended Solids (TSS), And PH. The Results Indicated That Moringa Oleifera Was Particularly Successful In Removing Turbidity Due To Its Ionic Proteins, But Tamarindus Indica Seed Powder Exhibited Significant Chemical Oxygen Demand (COD) Reduction, Reflecting Superior Organic Pollutant Adsorption Capabilities. Both Coagulants Yielded Good Outcomes Within An Optimal Dosage Range, Providing Them Viable Alternatives To Manufactured Chemicals. This Research Emphasizes The Efficacy Of Natural Coagulants In Sustainable Wastewater Treatment, Presenting An Environmentally Benign And Economical Strategy For Industrial Effluent Control. Additional Study Is Advised For Extensive Application And Sludge Characterisation.

Author: M.Sneha | T. Sathieshkumar

Area of research: Desig And Manufacturing

The Seed Sowing Machine Described Is Designed To Efficiently Distribute Seeds In An Organized Manner, Incorporating Key Components Such As Two Bearings, A Metal Square Rod, Two Wheels, A Seed Rotating Gear, And A Small Rod. The Bearings Ensure Smooth Rotation And Reduce Friction Between Moving Parts, Enhancing The Machine's Overall Performance And Longevity. These Bearings Are Strategically Placed To Support The Rotating Mechanisms And Improve The Reliability Of The System. The Metal Square Rod Serves As The Core Structural Element, Providing Stability And Durability. Its Design Enables The Attachment Of Other Components, Ensuring The Proper Alignment Of The Machine’s Moving Parts. The Square Rod Is Robust Enough To Withstand The Mechanical Stresses Encountered During Operation, Ensuring Long-term Reliability In Various Agricultural Settings. The Two Wheels Are An Essential Part Of The Machine’s Mobility, Allowing The User To Move The Machine Easily Across Different Terrains. These Wheels Are Designed To Provide Sufficient Traction, Ensuring That The Machine Remains Stable And Functional Even On Uneven Ground. A Seed Rotating Gear Is Integrated Into The Machine’s Design To Ensure That Seeds Are Evenly Dispensed. This Gear System Is Driven By The Rotation Of The Wheels And Works In Tandem With The Other Moving Components To Release Seeds At Regular Intervals. The Gear's Precise Rotation Helps To Maintain The Accuracy And Consistency Of Seed Placement, Leading To Optimal Crop Growth. Lastly, A Small Rod Is Included To Aid In The Seed Dispensing Process. This Rod Is Part Of The Mechanism That Connects The Gear System With The Seed Container, Facilitating A Continuous Flow Of Seeds During Operation. Overall, This Seed Sowing Machine Combines Simple Yet Effective Mechanical Components To Provide An Efficient, User-friendly Solution For Planting Seeds In Agricultural Fields.

Author: Sonkamble Nirbhay Sanjay | Udbale Suraj Nagnath | Chikhale Ketan Sabtosh | Yedle Aryan Atamaram | Chandreatharvanandkishor | Prof.Waghmare.V.P

Area of research: COMMERCE

This Research Assesses The Training And Development Activities At Bannari Amman Sugars Company, A Top Sugar Producer Company In India. It Used The Mixed-methods Research Approach, Where Both Quantitative And Qualitative Data Collection And Analysis Procedures Were Combined. The Results Show That The Training Programs Run By The Company Are Beneficial In Improving Employee Performance And Job Satisfaction But Still Have Room For Improvement In Terms Of The Design Of More Customized Training Programs, More Effective Evaluation Mechanisms, And Greater Employee Participation.

Author: Dr. D. Senthilnathan | Ms. Rekha M

Area of research: Computer Application

Blockchain Technology Is Transforming The Healthcare Industry By Providing A Secure, Transparent, And Efficient Framework For The Management Of Sensitive Patient Data. In Light Of The Sector's Susceptibility To Data Breaches And Cyber Threats, Blockchain Guarantees Data Integrity, Lowers Transaction Costs, Improves Regulatory Compliance, And Promotes Universal Access To Medical Records. This Study Presents A Sophisticated Method That Combines Ethereum Blockchain With A GPT-based AI Chatbot To Enhance Security, Efficiency, And Patient Engagement In Healthcare Management. Although Ethereum's Elevated Costs Pose Scalability Issues, The AI-driven Chatbot Optimizes System Performance By Offering Personalized, Context-aware Healthcare Assistance, Which Includes Preliminary Diagnoses, Medication Suggestions, And Symptom-based Medical Advice. This Seamless Integration Not Only Bolsters Data Security But Also Improves Patient Autonomy, Simplifies Healthcare Processes, And Encourages A Technologically Advanced, Patient-centered Healthcare Ecosystem.

Author: Swagat Gharat | Komal Shringarpure

Area of research: Environmental Engineering

The Dairy Industry Generates Large Quantities Of Wastewater Containing High Levels Of Organic Matter, Fats, Oils, Proteins, And Detergents, Leading To Significant Environmental Concerns When Improperly Treated. Traditional Wastewater Treatment Methods Often Struggle To Meet The Stringent Discharge Standards For Such Effluents Due To Their High Pollution Load. This Project Focuses On The Application Of Membrane Bioreactor (MBR) Technology For The Treatment Of Dairy Effluent, Combining Biological Degradation With Membrane Filtration To Achieve Superior Effluent Quality. The Study Investigates The Efficiency Of The MBR System In Treating Dairy Effluent By Assessing Key Parameters Such As Chemical Oxygen Demand (COD), Biochemical Oxygen Demand (BOD), Total Suspended Solids (TSS), And The Removal Of Pathogens. The Biological Component Of The MBR Consists Of Activated Sludge, Which Facilitates The Breakdown Of Organic Matter, While The Membrane Filtration Unit Ensures Effective Separation Of Solids From Treated Water. The Project Aims To Evaluate The System's Performance Under Various Operational Conditions, Including Hydraulic Retention Time (HRT), Mixed Liquor Suspended Solids (MLSS) Concentration, And Flux Rates. Preliminary Results Suggest That MBR Systems Can Achieve High Removal Efficiencies Of Over 90% For COD, BOD, And TSS, Thus Meeting The Required Discharge Standards. Additionally, The Project Explores Strategies For Addressing The Issue Of Membrane Fouling, Which Can Reduce The System's Performance Over Time. Techniques Such As Periodic Backwashing, Membrane Cleaning Protocols, Andoptimizing Operational Parameters Are Tested To Minimize Fouling And Maintain Membrane Efficiency. This Research Highlights The Potential Of MBRs As A Sustainable And Effective Solution For Dairy Effluent Treatment, Offering Advantages Such As Compact Design, High Treatment Efficiency, And The Potential For Water Reuse. The Findings From This Project Will Contribute To Advancing MBR Technology For Industrial Wastewater Treatment, With A Particular Focus On Its Application In The Dairy Industry, Promoting Environmental Sustainability And Compliance With Wastewater Regulations.

Author: B. Santhosh Kumar | M.Nandhini | V. Indhumathi

Area of research: Almala, Latur, Maharashtra

The Automatic Smart Dustbin Using Arduino Uno Is An Innovative Waste Management System Designed To Enhance Hygiene And Efficiency. It Utilizes An Ultrasonic Sensor To Detect Motion And Automatically Open The Lid, Minimizing Direct Contact With Waste. The System Is Powered By An Arduino Uno, Which Controls The Servo Motor For Lid Operation. This Project Is Ideal For Smart Homes, Offices, And Public Spaces, Promoting A Cleaner And Smarter Environment.

Author: Arfat Panchbhai Muntajeeboddin | Affan Azim Pathan | Shaikh Numan A. Mannan | Gudle Arjun Manoj | Prof.Mr. Lokare A P

Area of research: ECE

This Paper Presents A New Design Of A 2 To 4 Decoder Constructed Using 3-transistor NAND Gates, Contrasting It With The Conventional 4 Transistor NAND Gate-based Technique. The Primary Aim Of This Paper Is To Exhibit Advancements In Power Efficiency, Worst-case Propagation Time Delay, And Power Delay Product (PDP). These Improvements Underscore The Efficacy Of The 3-transistor NAND Gate-based Design, Illustrating Its Potential For Efficient And Optimized Decoder Architectures. The Simulation Of The Design Is Carried Out Using SPICE With 250nm Technology.

Author: M.Gayathri | R.Jamuna

Area of research: Computer Engineering

The Rapid Growth In Transportation Networks Has Led To An Increase In The Demand For Efficient And Seamless Toll Collection Systems. Traditional Toll Booths Involve Manual Intervention, Which Often Leads To Traffic Congestion, Delays, And Operational Inefficiencies. This Paper Proposes An Automated Toll Tax Collection System Utilizing Cloud Database Technology To Address These Challenges. The System Leverages An Integrated Approach Where Vehicles Are Identified Using RFID (Radio Frequency Identification) Technology, And Toll Payments Are Processed Automatically Through A Centralized Cloud-based Platform. This Platform Allows Real-time Data Storage, Easy Access, And Seamless Updating Of Toll Transactions, Vehicle Information, And Payment Statuses. The Cloud Database Ensures Scalability, Flexibility, And Cost-effectiveness While Providing Advanced Security Measures To Safeguard User Data. Additionally, The System Provides An Intuitive User Interface For Vehicle Owners To Track Payments And Account Details. By Reducing Human Intervention And Enhancing Operational Efficiency, This Automated System Promises To Improve Toll Collection Accuracy, Reduce Traffic Congestion, And Provide A Smooth Travel Experience For Commuters. The Proposed System Also Offers Potential For Integration With Other Transportation Infrastructure Technologies, Facilitating Smart City Initiatives.

Author: Prof. Ankush Narkhede | Mr. Adnan Shaikh | Mr. Vaibhav Dethe | Mr. Alyan Khan | Mr. Adesh Wagh

Area of research: Computer Engineering

Agriculture Is The Indian Economy's Backbone. Big Data Analytics Are Becoming More Precise And Feasible In Agricultural Research. Current Water Scarcity, Uncontrollable Costs Owing To Demand-supply Imbalances, And Weather Instability Need Farmers To Be Prepared With Smart Farming Techniques. Crop Yields Must Be Addressed Due To Unknown Climate Changes, Limited Irrigation Infrastructure, Soil Fertility Decrease, And Conventional Agricultural Approaches. Weather-based Crop Yield Prediction Is A Critical Area Of Agricultural Research, Providing Valuable Insights To Enhance Food Security And Optimize Resource Management. This Paper Explores The Integration Of Big Data Analytics To Predict Crop Yields Based On Weather Patterns. With The Growing Availability Of Weather-related Data From Multiple Sources, Such As Satellite Imagery, Weather Stations, And IoT Sensors, Advanced Machine Learning Algorithms And Data Mining Techniques Can Be Employed To Analyze And Predict The Impact Of Weather Variables (temperature, Rainfall, Humidity, Etc.) On Crop Production. The Study Highlights The Use Of Big Data Tools Like Hadoop, Spark, And Various Data Modeling Techniques To Process Vast Amounts Of Environmental And Agricultural Data. The Predictive Models Developed From These Data Provide Farmers, Policymakers, And Stakeholders With Actionable Insights, Allowing Them To Make Informed Decisions On Irrigation, Fertilization, Planting Schedules, And Crop Selection. This Research Demonstrates How The Fusion Of Weather Data And Big Data Analytics Can Significantly Improve Crop Yield Forecasting, Ultimately Contributing To Better Agricultural Planning, Sustainability, And Economic Growth.

Author: Prof. Pravin Kharat | Mr. Nikhil Agbattanwar | Miss. Pranjali Patil | Miss. Rohini Tayade | Mr. Rohan Shinde

Area of research: Mechanical Engineering

In Today Life There Is Wide Of Forklifts Variety Of Forklifts From The Large Heavy Loadings Trucks To The One That Works Among Narrow Aisles Forklifts Have Becomes One Of Basics Transportation Tools We Use In Our Lives With All The Forklifts In Existence We Find That There Are Some Improvement That Can Be To Bring Forklifts To The Better Performance. We Describe Forklift Powered By An Electric Motor Instead Of The Current Using To Rotate Motor The Main Objective Of This Project Is To Design Electrically Powered Forklift For Material Handling In Industrial Warehouses And Workshops. Nowadays In Industries, The Forklift Operates On An Manually For Transportation And Hydraulic System For Lifting And Lowering Of Materials. Due To This Mode Of Operation, There Are Many Adverse Environmental Impacts Such As No Emission Of Carbon Dioxide And Leakage Of Hydraulic Fluid. Thus, This Project Aim To Making The Electric System Into A Forklift To Make It Electrically Powered Which Lift To 30-40kg And Elevate Up To 5 Feet.

Author: Kushal Harish Patel | Prathmesh Prashant Kulkarni | Atul Amol Pandhare | Pankaj Naghnath Udbale | AdilAmir Shaikh | Prof. Nizammehdi Abdul Mannan Mungle

Area of research: Mechanical Engineering

An Automatic Braking System Is An Intelligent Mechatronic System Includes An Ultrasonic Wave Emitter Provided On The Front Portion Of A Car Producing And Emitting Ultrasonic Waves. An Ultrasonic Receiver Is Also Placed On The Front Portion Of The Car Operatively Receiving A Reflective Ultrasonic Wave Signal. The Reflected Wave (detected Pulse) Gives The Distance Between The Obstacle And The Vehicle. Then A Microcontroller Is Used To Control The Speed Of The Vehicle Based On The Detection Pulse Information To Push The Brake Pedal And Apply Brake To The Car Stupendously For Safety Purpose. Mostly People Prefer Using Cars And Four Wheelers For Efficient Transportation. Vehicle Technology Is Increasing To A Wide Extent Especially In Braking Systems And Sensing Systems. Vehicles Equipped With Modern Braking Technology Is Designed With Simple Collision Avoidance System, Which Will Help To Detect A Collision Which Is Likely To Occur And Applying Emergency Brake To Avoid It. Such Technologies Will Reduce The Number Of Accidents Which Causes Worst Damages, Serious Injury, And Even Death. In This Automatic Braking System.

Author: Satpute Nagesh Santosh | Chendke Pratik Rudrappa | Mogle Krishna Pandhari | Chaudhari Udhav Datta | Prof. Nitalikar P.S

Area of research: Arts

Work-life Balance Is A Critical Aspect Of Professional And Personal Well-being, Especially For Women Educators Who Manage Multiple Responsibilities. This Study Examines The Work-life Balance Of Women Teachers In Private Schools In Coimbatore City. It Explores The Challenges They Face In Managing Professional Commitments And Personal Obligations, Including Workload, Time Management, Family Responsibilities, And Stress Level

Author: Dr. A. R. Kanagaraj | Jayavarthanaa.G