Volume - 11 Issue - 3

Area of research: Commerce

Tamil Nadu's Public Transportation Plays An Important Role In Rendering Mobility Affordable And Accessible, Particularly For Working Women. The Zero Ticket Bus Travel Scheme Introduced In 2021 Has Significantly Impacted The Labour Force Participation Of Women Through Reduced Commuting Costs And Enhanced Accessibility. This Study Explores Working Women's Perception Of The Scheme In Coimbatore, With A Focus On Their Satisfaction Level, Faced Challenges, And Socio-economic Benefits. Based On Extensive Data Analysis, This Study Explains The Impact Of The Scheme On Work, Education, And Health Services And Identifies Areas Of Improvement. The Findings Of The Study Are Intended To Provide Policymakers With Useful Data To Enhance The Scheme's Effectiveness, Thereby Enhancing Women's Mobility And Empowerment In The Long Run.

Author: Dr.S. Renugadevi | Mr.G. Sudharsan

Area of research: Commerce With CSCA

The Rapid Evolution Of Technology Has Significantly Transformed The Learning Landscape, With E-learning Platforms Emerging As Essential Tools For Career Advancement In The IT Sector. This Study Aims To Analyze The Effectiveness Of E-learning Platforms In Enhancing Technical Skills, Employability, And Professional Growth Among IT Professionals In Coimbatore City. By Assessing The Accessibility, Affordability, Course Quality, And Industry Relevance Of Various E-learning Platforms, This Research Seeks To Determine Their Impact On Career Progression. A Mixed-method Approach, Incorporating Surveys And Interviews With IT Professionals, Is Utilized To Evaluate User Satisfaction, Learning Outcomes, And Challenges Faced In Online Education. The Findings Will Provide Insights Into The Strengths And Limitations Of E-learning Platforms And Offer Recommendations For Optimizing Their Effectiveness For Career Development In The IT Sector.

Author: Dr.D.Senthilnathan | Ms. S. Sakthi Nisha

Area of research: IMAGE PROCESSING TECHNIQUES

The Proliferation Of Counterfeit Products Poses Significant Challenges To Brand Integrity And Consumer Trust. This Paper Presents A Comprehensive Survey On Detecting Genuine And Counterfeit Logos Using Convolutional Neural Networks (CNNs) With The Inception-V3 Pre-trained Model. We Review Recent Advancements In Deep Learning-based Logo Detection, Focusing On Accuracy, Robustness, And Computational Efficiency. The Survey Highlights Key Methodologies, Datasets, Performance Metrics, And Challenges In This Domain. Our Analysis Demonstrates That Inception-V3, Combined With Fine-tuning And Data Augmentation, Achieves State-of-the-art Performance In Distinguishing Authentic And Counterfeit Logos. Future Research Directions Include Improving Generalization Across Diverse Logo Designs And Integrating Explainable AI Techniques For Enhanced Interpretability.

Author: Mrs. J.Jenila, Ap/CSE | Dharni Ritika KG | Gayathri B | Keerthana S

Area of research: MERGERS & ACQUISITIONS (Finance)

This Study Investigates The Strategic Role Of Investment Banks In Mergers And Acquisitions (M&A) Transactions, Emphasizing Their Contributions To Valuation, Deal Structuring, And Negotiations. By Employing A Mixed-methods Approach, Including Secondary Data Analysis And Case Studies, The Research Highlights How Investment Banks Create Value For Clients And Ensure Successful Deal Execution. The Findings Underscore The Importance Of Investment Banks In Improving Valuation Accuracy, Reducing Negotiation Time, And Increasing Deal Success Rates. The Study Also Provides Actionable Insights For Enhancing M&A Outcomes And Identifies Areas For Future Research.

Author: Raghul Krishna R

Area of research: Information Technology

The Growing Need For Public Safety Has Driven Demand For Automated Surveillance Systems That Detect Violent And Suspicious Behaviors In Real-time. Critical Locations Like Train Stations, Schools, And Hospitals Benefit From Systems That Can Quickly Identify Aggressive Actions, Helping Prevent Potential Casualties And Reduce Social And Economic Harm. This Paper Reviews Various Violence Detection Techniques In Surveillance Videos, With A Focus On AI, Machine Learning, And Deep Learning Methods. Special Attention Is Given To Detecting Both General And Weaponized Violence In CCTV Footage. By Automating Violence Recognition, These Systems Enhance Public Safety, Reduce Human Oversight, And Provide Timely Interventions. The Survey Highlights Recent Advancements In AI-based Violence Detection And Its Application In Industry To Improve Societal Security.

Author: Samarth Salvi | Yash Chaubal | Manikanta Manchala | Viraj Yadav | Prof. Ninad Gaikwad

Area of research: Computer Science

Real-time Communication Is One Of The Vital Com- Ponent In System Design, Enabling Seemless Interaction Across Applications Involving Video Conferencing, Data Transfer. WebRTC Has Emerged As Technology That Facilitates Peer To Peer Communi- Cation Without Relying On Third Party Plugins. It Reduces Latency & Optimizes The Bandwidth Usage. This Paper Explored The Architecture Of WebRTC, NAT Traver- Sal(STUN, TURN) & Process Of Media Exchange. This Paper Demonstrates The Use Of WebRTC For Seemless & Low Latency Communication.

Author: Amit Sureshchandra Kesarwani | Surajnarayan Raut | Sneha Yadav

Area of research: Commerce And Accounting

The Study Examines The Financial Performance Of The Hotel Sector, With A Focus On The Effects Of The COVID-19 Pandemic On Specific Businesses. It Draws Attention To The Sharp Drop In Income And Profit That Many Hospitality Businesses Have Seen As A Result Of The Epidemic, Which Has Changed The Industry's Financial Environment. The Study Highlights How Crucial It Is For Businesses To Strategically Adjust In Order To Deal With Issues Like Shifting Consumer Preferences And Operational Obstacles In The Post-pandemic Environment. It Also Talks About The Promising Future Of The Hospitality Sector, Which Is Being Fuelled By Government Programs And Infrastructure Improvements Meant To Boost Travel And Hospitality Offerings. Overall, The Study Sheds Light On The Financial Dynamics Of The Hotel Industry Both During And After The Epidemic, Emphasizing The Opportunities As Well As The Difficulties Encountered.

Author: Ms. Krina Vankawala

Area of research: Civil Engineering

Erode City, Which Serves As The Headquarters Of Erode District, Is Beautifully Situated Along The Banks Of The Cauvery River In Tamil Nadu. Geographically, It Sits Between The Latitudes Of 11° 17’ N And 11° 23' N, And The Longitudes Of 77° 40’ E And 77° 46' E, Covering An Approximate Aerial Extent Of 120 Km. The City Relies Heavily On The Cauvery River For Its Drinking Water Supply. Besides This River, The Local Population Also Taps Into Groundwater Resources To Meet Their Domestic, Agricultural, And Industrial Needs. However, Rapid Urbanization And Poor Waste Disposal Practices Have Led To The Contamination Of Both Groundwater And Surface Water In The Area. Currently, The City's Municipal Solid Waste Is Dumped In Open Landfills At Three Main Sites: Vendipalayam, Vairapalayam, And Semur. The Leachate From These Open Dumps Is Directly Polluting The Groundwater And Surface Water, Making It Unsuitable For Drinking In Many Areas. To Tackle This Issue, A Comprehensive Study Was Conducted Using Geographical Information System (GIS) Technology To Analyze The Spatial Variation In The Quality Of Surface And Groundwater. In February 2009, Researchers Collected Forty-three Groundwater Samples And Seven Surface Water Samples From The Region, Analyzing Them For Various Physical And Chemical Parameters, Including PH, Electrical Conductivity, Total Dissolved Solids, Alkalinity, Hardness, And Several Ions Like Na+, K+, Ca2+, Mg2+, Cl, HCO3, CO32, SO4, NO3, And F. The Concentrations Of These Constituents Were Then Compared Against The Standards Set By The Bureau Of Indian Standards (BIS) And The World Health Organization (WHO) To Assess The Water's Suitability For Drinking. The Findings Revealed That Many Locations Had Water Quality Parameters Exceeding Permissible Limits, Rendering The Water Unsafe For Consumption. Additionally, The Spatial Variation Of Groundwater Quality Parameters Was Mapped Using GIS.

Author: G.Suba Vishnu | S.Raajamurugan

Area of research: Computer Science

Wireless Networks Are Undergoing A Paradigm Shift With Emergence Of High Performance Internet Of Things (IoT). The Demand For Bandwidth Has Significantly Risen Due To Multimedia Applications And High Speed Data Transfer. Due To The Large Data Speeds And Wireless Nature Of The Channel, Error Detection And Correction Measures Are Indispensable For High Trustworthiness In Networks. This Paper Presents A Comprehensive Review On Need Of Error Detection And Correction In Wireless Networks And The Related Work Done In The Domain. The Emphasis Has Been Laid On The Error Detection And Correction Employing The Turbo Encoding Mechanism. The Turbo Encoding Mechanism Has Been Chosen As The Baseline Technique As It Shows Adherence To The Shannon’s Limit While Exhibiting A Steep Plummet In The Error Rate, In The Error Rate Even At Low SNR Values. The Important Features Of The Turbo Encoding-decoding Process Has Been Cited With Explanations. A Review Of The Various Categories Of Turbo Codes And Similar Approaches Has Been Presented. Salient Features Of Contemporary Work Have Been Cited.

Author: Madeeha Mansoori

Area of research: Commerce

This Study Examines The Socio-economic Conditions Of Paduvampalli Village, Coimbatore, Under The Unnat Bharat Abhiyan (UBA) Scheme, An Initiative Aimed At Rural Development Through Institutional Participation. The Research Focuses On Key Aspects Such As Income Levels, Employment Patterns, Education, Healthcare Access, Sanitation, And Infrastructure. Through Field Surveys And Data Analysis, The Study Identifies The Challenges Faced By The Villagers And Assesses The Impact Of UBA Interventions In Improving Their Quality Of Life. The Findings Provide Insights Into The Effectiveness Of Government Schemes And Suggest Measures For Sustainable Rural Development.

Author: Dr. S. Jagatheeswari | Ms. Nisha V

Area of research: Ms. Poornima P

Anesthesia Administration Plays A Crucial Role In Surgical Procedures, Requiring Precise Monitoring And Control To Ensure Patient Safety. Traditional Anesthesia Delivery Systems Rely Heavily On Manual Adjustments, Which Can Lead To Human Errors And Variability In Dosage. This Paper Presents An IOT-enabled Anesthesia Control System That Integrates Real-time Monitoring, Automated Drug Delivery, And AI-driven Decision-making To Enhance Accuracy And Efficiency. The System Employs Embedded Sensors To Continuously Track Vital Parameters Such As Heart Rate, Blood Pressure, Oxygen Saturation, And Respiratory Rate. These Data Points Are Processed Using Cloud Computing And Analyzed By An AI-based Control Algorithm To Adjust Anesthetic Delivery Dynamically. Additionally, Remote Monitoring Capabilities Allow Anesthetists To Supervise And Intervene When Necessary, Reducing The Burden On Healthcare Professionals. The Proposed System Enhances Patient Safety, Minimizes The Risk Of Overdose Or Underdose, And Improves Surgical Outcomes By Ensuring Stable Anesthesia Levels Throughout The Procedure. By Integrating IOT, Artificial Intelligence, And Medical Automation, This Research Aims To Revolutionize Anesthesia Management, Making It More Precise, Reliable, And Efficient. Future Work Will Focus On Clinical Validation And System Optimization For Widespread Adoption In Operating Theaters.

Author: LOGESHWARAN N | Gunasekar M | Kaviyarasu M | Logeshwaran N

Area of research: Commerce

This Study Examines The Well-being, Motivation, And Mental Health, Highlighting Their Impact On Organizational Success. Employee Well-being, Encompassing Physical, Emotional, And Psychological Health, Is Crucial For Productivity And Engagement. The Study Explores Key Factors Affecting Motivation, Including Workplace Environment, Job Satisfaction, Recognition, And Leadership Support. It Also Evaluates Organizational Practices That Promote Well-being And The Correlation Between Mental Health And Innovation. Using A Mixed-methods Approach, The Research Analyzes Data Collected From 143 Respondents In Coimbatore City Through Surveys And Statistical Tools Such As Chi-square And Ranking. The Findings Emphasize The Need For Supportive Policies, Stress Management Strategies, And Mental Health Awareness Programs To Foster A Positive Work Culture. The Study Concludes That Prioritizing Employee Well-being Leads To Improved Retention, Satisfaction, And Overall Performance, Offering Strategic Insights For Companies Aiming To Enhance Workforce Productivity.

Author: Dr.M. PRAKASH | Ms.SHALENI A | Ms. SIVASANKARI S

Area of research: Computer Science And Engineering

Stock Price Prediction Is A Critical Task For Investors, Traders, And Financial Analysts To Make Informed Decisions. Traditional Statistical Methods Often Struggle To Capture The Complex, Non-linear Patterns And Long-term Dependencies Inherent In Stock Market Data. This Project Proposes A Machine Learning-based Solution Using Long Short-Term Memory (LSTM) Networks To Analyze Historical Stock Data, Identify Trends, And Provide Accurate Predictions. By Leveraging Features Such As Opening Price, Closing Price, And Volume, The LSTM Model Aims To Deliver Actionable Insights For Optimizing Investment Strategies And Minimizing Risks. The Study Involves Data Collection, Preprocessing, Feature Engineering, Model Development, And Evaluation Using Metrics Like Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), And Root Mean Square Error (RMSE). The Results Demonstrate The Model's Ability To Capture Seasonal Trends And Long-term Dependencies, Outperforming Traditional Methods. A User-friendly Dashboard Is Also Developed To Visualize Predictions In Real-time.

Author: JEGHAN M | Jeghan M | Ahamed Buhari A | Anish Roshan A | Maheswaran R

Area of research: Finance

The Adoption Of Software-as-a-Service (SaaS) Models In Emerging Markets Presents Both Significant Opportunities And Challenges. This Study Analyze The Financial Viability Of SaaS Models In These Regions, Using TECHVOLT As A Case Study. Emerging Markets Exhibit High Demand For Digital Solutions Due To Increasing Internet Penetration, Mobile Adoption, And Digital Transformation Initiatives. However, Challenges Such As Lower Purchasing Power, Payment Infrastructure Limitations, And Regulatory Hurdles Impact SaaS Adoption.This Analysis Explores Revenue Models, Pricing Strategies, Customer Acquisition Costs, And Long-term Profitability. It Evaluates Factors Such As Local Economic Conditions, Competition, And The Scalability Of SaaS Solutions In These Markets. Additionally, It Examines The Role Of Alternative Pricing Strategies, Including Freemium Models, Tiered Subscriptions, And Pay-as-you-go Structures, In Enhancing Affordability And Adoption.TECHVOLT’s Financial Data And Market Positioning, This Research Provides Insights Into Optimizing SaaS Business Models For Sustainability In Emerging Markets. The Findings Highlight Key Financial Metrics, Growth Potential, And Strategic Considerations For Investors And Entrepreneurs Aiming To Expand SaaS Offerings In These Economies.

Author: Dr.C.Eahambaram | Mrs.C.Mercy Praba | A.Vinothini | P.Andria Mercy

Area of research: Mechanical Engineering

This Paper Represents A Novel Design And Control Architecture Of The Continuous Stirred Tank Reactor (CSTR) Based On Its Mathematical Equivalent Modeling Of The Physical System. The Plant Is Formed Analytically For The Normal Operating Condition Of CSTR. Then The Transfer Function Model Is Obtained From The Process. The Analysis Is Made For The Given Process For The Design Of Controller With Convectional PID (trial And Error Method), Ziegler Nichols Method, Fuzzy Logic Method And Model Reference Adaptive Method. The Simulation Is Done Using MATLAB Software And The Output Of Above Four Different Methods Was Compared So That The Model Reference Adaptive Controller Has Given Better Result. This Thesis Also Compares The Various Time Domain Specifications Of Different Controllers.

Author: Rathodshrikant Balaji | Chitbone Pravin Dhondiram | Bankar Aditya Chandrakant | Suryawanshi Pravin Namdev | Prof.Sabde Abhijit Manoharrao

Area of research: Corporate Secretaryship With CA

The IT Sector In Coimbatore City Is A Rapidly Growing Industry, And Leadership Style Plays A Crucial Role In Influencing Employee Productivity. This Study Aims To Investigate The Impact Of Leadership Style On Employee Productivity In The IT Sector In Coimbatore City.A Quantitative Research Approach Was Employed, And Data Was Collected Through A Survey Questionnaire Administered To 300 IT Professionals In Coimbatore City. The Results Of The Study Revealed A Significant Positive Correlation Between Transformational Leadership Style And Employee Productivity.The Study Also Found That Transactional Leadership Style Had A Negative Impact On Employee Productivity. The Findings Of This Study Suggest That IT Organizations In Coimbatore City Should Adopt Transformational Leadership Styles To Enhance Employee Productivity.The Study Contributes To The Existing Literature On Leadership Style And Employee Productivity, And Provides Valuable Insights For IT Organizations To Improve Their Leadership Practices And Enhance Employee Productivity.

Author: Ms. B. Sooriya Priya | Gowtham S

Area of research: Mechanical Engineering

The Pedal-operated Car Is A Sustainable, Human- Powered Vehicle Designed For Eco-friendly Urban Mobility. It Incorporates A Mechanical Pedal-drive System To Convert Human Energy Into Motion, Reducing Reliance On Fossil Fuels. The Car Features Aerodynamic Bodywork, Lightweight Materials, And An Efficient Gear Mechanism To Enhance Speed And Comfort. The Design Integrates Electric-assist Technology, Allowing Users To Switch To Battery-powered Mode When Needed, Making It A Hybrid Human-electric Vehicle. It Is Ideal For Urban Commutes, Fitness, And Recreational Use. The Pedal-operated Car Promotes Sustainability, Reduced Carbon Emissions, And Cost-effectiveness, Contributing To A Greener Future In Transportation.

Author: Biradar Omkar Narayan | Natu Sambhaji Shankar | Chothave Sagar Vilas | Biradar Sarthak Sanjay | Prof. Mungle Nizammehadi A

Area of research: Computer Science And Engineering

This Paper Presents A Holistic Smart Waste Management System Integrating IoT Sensors, Cloud Computing, And Route Optimization To Address Urban Waste Challenges. The System Employs Ultrasonic Sensors For Real-time Bin Fill-level Monitoring, Firebase Firestore For Centralized Data Management, And Google Maps Directions API For Dynamic Route Optimization. A Lightweight Object Detection Model Classifies Waste Types To Prioritize Collection Tasks. Experimental Results Demonstrate 95% Accuracy In Binmonitoring And 30% Reduction In Collection Route Distances.

Author: Sriram S | Subash S | Yogesh M | Jenifa J

Area of research: Computer Science

The World’s Growing Urban Population Is Leading To An Increase In The Generation Of Waste, With Electronic Waste (e-waste) Being One Of The Fastest-growing Waste Categories. Improper Disposal Of E-waste Presents Severe Environmental And Health Risks. This Report Explores The Integration Of Blockchain Technology Into E-waste Management Systems Within Smart Cities. By Utilizing Blockchain's Inherent Qualities Such As Transparency, Traceability, And Decentralization, The System Enhances Accountability In Managing E-waste. It Proposes A System That Tracks Waste Throughout Its Lifecycle, From Generation To Disposal, Ensuring That All Stakeholders Involved In The Process Are Accountable. The System Uses Secure Data Standards Such As The Data Encryption Standard (DES) Algorithm For Data Protection And Incorporates Smart Contracts For Automation. The Proposed Solution Not Only Aims At Reducing The Environmental Impact Of E-waste But Also Provides An Efficient And Scalable Approach To Waste Management In Urban Areas

Author: Dr. B. Sivaranjani | Ms. K. Merina | Ms. R. Maheswari

Area of research: Electronics And Communication Engineering

Despite Advances In Technology, The Field Of Animal Incursion Detection Has Frequently Been Neglected And Understudied. This Is An Important Issue, Particularly In Rural And Agricultural Regions Where Animal Invasion May Cause Considerable Crop Damage, Financial Loss, And Pose Risks To Both Humans And Wildlife. To Close This Gap, We Offer A Sensor-based Method That Tracks Animal Ingress Onto Human-occupied Or Agricultural Land, Giving A Real-time Solution For Identifying Possible Invasions. This Project Uses An ARDUINO UNO Microcontroller As The Central Processing Unit, As Well As A Variety Of Necessary Components Such As A GSM (Global System For Mobile Communications) Module, A Buzzer, And A PIR (Passive Infrared) Sensor To Detect Movement. The PIR Sensor Detects Animal Movements Within Its Range Of Vision, And The Arduino Analyzes The Sensor Data. When The System Detects The Presence Of An Animal, It Activates The GSM Module, Which Is Set To Send SMS Messages With Particular Information About The Movements Location. This Real-time Notice Is Transmitted To Both Law Enforcement Officers And The Farm Owner, Giving Them With Quick Information About The Incursion And Allowing Them To Take Appropriate Measures To Limit Harm. In This Arrangement, The Buzzer Acts As A Local Alarm System, Perhaps Driving Away Smaller Animals While Also Notifying Surrounding Humans. This Setup's Simplicity Makes It A Low-cost, Scalable Alternative For Farmers Who May Not Have Access To More Advanced Monitoring Systems. Overall, This Project Aims To Create A System That Actively Monitors Agricultural Fields For Any Animal Invasions. The Arduino Nano Detects Motion Using The PIR Sensor And Analyzes The Data, Ensuring That Notifications Are Transmitted To The Appropriate Parties As Soon As Possible Using The GSM Module. This Strategy Not Only Improves The Safety And Security Of Agricultural Areas, But Also Promotes Greater Human-animal Cooperation By Avoiding Future Confrontations.

Author: Mario Joshua S | Arun S | Prabhakaran S | Jai Surya G.

Area of research: Automation & Robotics

The Adaptive Recon Rover: Defense And Wildlife Is A Multipurpose Autonomous Reconnaissance Vehicle Designed For Surveillance, Threat Neutralization, And Wildlife Protection. The Rover Is Equipped With A Sliding Landmine Detection Mechanism, Allowing It To Scan And Identify Explosive Threats With Precision. Its Modular Gun Case Can Be Adapted For Different Operational Needs, Including Non-lethal Tranquilizers For Wildlife Control Or Active Defense Measures. The Integrated Camera System, Featuring Object Detection, Thermal Imaging, And GPS, Enhances Situational Awareness By Providing Real-time Data Analysis. The Rover’s Solar-powered System, Utilizing Perovskite Solar Panels, Ensures Extended Operational Time In Remote Locations, Reducing Dependency On External Power Sources. A Tracked Wheel Design Enables Superior Terrain Adaptability, Making It Effective Across Diverse Environments, From Urban Landscapes To Rough Terrains. Designed With An Emphasis On Both Military Reconnaissance And Wildlife Conservation, This Innovative Rover Bridges The Gap Between Defense Technology And Ecological Protection. This Research Explores The Rover's Design, Working Principles, And Real-world Applications, Demonstrating Its Potential For Enhancing Security And Environmental Safety.

Author: Soham Sachin Pandharpatte | Preet Anil Jadhav | Harshwardhan Dhananjay Gavali | Kishansingh Pushparajsingh Hajari | Mr. P.V. Jadhav

Area of research: Commerce Corporate Secretaryship With Computer Application

The Healthcare Sector Plays A Vital Role In Societal Well-being By Enhancing Life Expectancy, Productivity, And Overall Quality Of Life. Effective Human Resource Management (HRM) Is Critical For Hospital Operations, Ensuring Efficient Recruitment, Training, Performance Evaluation, And Employee Retention. Strong HR Practices Foster A Cohesive Workforce, Boost Employee Satisfaction, And Improve Hospital Efficiency. By Creating A Positive Work Environment And Addressing Workforce Challenges, HRM Directly Impacts The Quality Of Patient Care And Overall Hospital Performance.

Author: Ms. V. Preethika | Ms. Y. Pavithra

Area of research: ECE

Reversible Logic Gates Are Pivotal Components Digital Circuit Design, Embodying The Principle Of Reversibility That Ensures Each Input State Maps Uniquely To A Distinct Output State Without Loss Of Information. Leveraging These Principles, This Paper Presents A Novel Design And Validation Of A Binary-Coded Decimal (BCD) Adder Utilizing Reversible Logic Gates, Specifically ASK Gates And New Gate (NG). Through The Seamless Integration Of ASK And NG Gates, The Proposed Design Achieves Significant Improvements In Efficiency And Performance Metrics. The Design And Validation Processes Are Carried Out Using Xilinx Software. Notably, It Demonstrates A Substantial Reduction In Gate Count And Ancilla Inputs While Effectively Managing Garbage Outputs. The Design Features A Gate Count Of 11, Employs13 Ancilla Inputs, And Generates 22 Garbage Outputs, Show Casing A Remarkable 63.33% Reduction In Gate Count Compared To Existing Architectures. These Findings Highlight The Efficiency, Scalability, And Potential Applications Of The Proposed Design In Various Domains Including Quantum Computing, Low-power Systems, Error-correction Mechanisms, Cryptography.

Author: K.Shanakiya Sowmiya | D.Jaisakthi

Area of research: Mechanical Engineering

Die Casting Is A Manufacturing Process That Can Produce Geometrically Complex Parts Through The Use Of Reusable Dies. Accuracy And Quality Are The First Need Of Customers That Must Be Fulfilled By Offering High Quality Products. The Different Process Parameters Like Melt Temperature, Holding Time, Injection Pressure, Rate Of Cooling, Velocity Of Flow Of Molten Metal Etc., Need To Be Set Correctly In Order To Get Desired Quality At Optimum Cycle Time. For Die Casting Process, There Are Various Techniques By Which We Can Improve The Quality Of Die Cast Product. In This Work We Are Going To Find Out The Optimum Process Parameters For The Magneto Cover By Using Taguchi Method. For Statistical Analysis Minitab Software Is Used. The Results Obtained By Using Software Is Used As Input For Physical Experimentation. For The Same We Got Work Permission From Advent Tool Tech Pvt.Ltd., Pune.

Author: Mr. Javed Gulab Mulla | Mr. Bookwale Mohammed Umar Murtuza | Mr. Matnale Sunil Chandrakant | Mr. Ghate Samarth Nagappa | Mr. Lambture Shreyash Bharat | Mr. Vikram Kumar

Area of research: Computer Science And Engineering

GroShelf Is A Smart Food Waste Management App That Helps Users Organize Groceries, Minimize Waste, And Make Informed Consumption Decisions. Built With The PERN Stack And Supabase For Real-time Updates, It Features An OCR Module For Automated Grocery Extraction, Expiration Alerts, And Recipe Suggestions Based On Available Ingredients. The Impact Calculator Tracks Discarded Food, Highlighting Its Financial And Environmental Impact. A USDA-based Expiration Database Eliminates Manual Input By Assigning Estimated Shelf Lives To Groceries. By Integrating Grocery Management, Waste Tracking, And Sustainability Insights, GroShelf Promotes Smarter Meal Planning, Reduces Unnecessary Purchases, And Fosters An Eco-friendly Lifestyle.

Author: Aromal Suresh | Ashish Thomas | Nandhagopalan N.S | Rubeena V.S

Area of research: Corporate Secretaryship

This Study Explores The Relationship Between Employee Satisfaction And Work Performance At Croma, A Leading Retail Brand, In Coimbatore. The Research Aims To Understand How Various Factors Of Employee Satisfaction, Such As Job Security, Work-life Balance, Leadership, Compensation, And Recognition, Influence The Productivity, Motivation, And Overall Performance Of Employees Within The Organization. The Study Employs A Mixed-methods Approach, Combining Quantitative Surveys With Qualitative Interviews To Gather Insights From Employees At Different Levels Within The Company. Data Collected From Employees Will Be Analyzed To Identify Key Determinants Of Job Satisfaction And Their Impact On Work Efficiency, Engagement, And Commitment.The Findings Of The Study Are Expected To Provide Valuable Insights Into How Employee Satisfaction Can Be Enhanced And How Improving Satisfaction Levels Can Directly Influence Work Performance, Productivity, And Organizational Success

Author: Dr. A. R. Kanagaraj | Abdur Rahman N

Area of research: Networking

Network Traffic Analysis Is Crucial For Overseeing And Protecting Modern Network Infrastructures Or Network Connections As They Help In Monitoring, Analyzing And Troubleshooting Network Related Activities.Enhancing Air Quality Monitoring, Raising Public Awareness, And Enabling Data-driven Decision-making,While It's Easy To Use And Offers Many Benefits, Such As Safeguarding Your.The Conclusion Finally Sums Up The Findings And Aims To Guide On Choosing The Best Tool Based On Specific Network Requirements And Preferences

Author: Mr. Atul Ramlal Saroj | Dr.UdayAswalekar

Area of research: Computer Science

Digital Marketing Has Become A Important Tool For Businesses Looking To Boost Their Brand Visibility And Connect With Customers. How Different Digital Marketing Strategies-like Social Media Marketing, Email Marketing, And Search Engine Optimization (SEO)-work To Attract New Customers Improve Return On Investment (ROI). The Findings Show That Digital Marketing Is Very Effective At Delivering Measurable Results, Especially Social Media And SEO.

Author: Prasad Subhash Anjarlekar | Harsh Rajendra Jadhav | Prof. Shravya Shreeyash Pawar

Area of research: MEDICAL ELECTRONICS

Gait Analysis Is Crucial For Understanding Human Motion, And Longitudinal Gait Analysis Has Gained Significant Attention In Medical And Healthcare Domains. However, Existing Wearable Gait Devices Face A Major Challenge: Limited Battery Life. Continuous Sensing And Computing In Wearable Gait Devices Lead To Short Battery Life, Making It Difficult To Conduct Studies Over Extended Periods. To Address This Challenge, We Present An Energy-efficient Adaptive Sensing Framework That Uses Presampling For Content Understanding, Selective Sensing, And Sparsity-based Signal Reconstruction. Our Framework Reduces The Number Of Samples While Preserving Information Integrity, Enabling Longitudinal Gait Analysis Over Extended Periods. Experimental Results Demonstrate The Effectiveness Of Our Method, Achieving Significant Data Point Reduction While Maintaining Accuracy, With A Battery Life Extension To 10.47 Hours.

Author: Prakash P | Kalanithi C | Logesh S | Benitsamraj A

Area of research: Artificial Intelligence

The Pursuit Of Artificial Intelligence (AI) Capable Of Complex Decision-making And Autonomous Action Led To Increased Interest In Equipping AI Agents With Motivations. While Objective Metrics Such As Task Completion Or Resource Optimization Are Commonly Used, Imbuing AI With A Concept Similar To "happiness" Or Well-being. It Offers Intriguing Possibilities For Enhanced Adaptability, Creativity, And Ethical Behavior. This Paper Explores The Multifaceted Challenge Of Defining Optimal Happiness Criteria For AI Agents. In This Examine Various Philosophical And Psychological Perspectives On Happiness, Analyze The Potential Pitfalls Of Directly Translating Human Concepts To An AI Context, And Propose A Framework For Developing Context-dependent And Ethically Aligned Happiness Criteria That Promote Beneficial AI Agency.

Author: Adinath Patil | Rick Show

Area of research: Cyber Security & Information Security

Multi-factor Authentication (MFA) Is An Essential Security Feature That Enhances Protection Against Unauthorized Access. This Paper Evaluates MFA’s Effectiveness In Mitigating Cyber Threats Such As Phishing, Credential Theft, And Brute-force Attacks. Various MFA Techniques, Including Hardware Tokens, Biometrics, And SMS-based Authentication, Are Analyzed For Their Strengths And Weaknesses. Additionally, User Adoption Challenges, Such As Cost, Usability, And Implementation Complexity, Are Dis- Cussed. Real-world Case Studies Highlight The Security Implications Of Different MFA Techniques. Findings Suggest That While MFA Significantly Improves Authentication Security, Its Success Relies On User Compliance And Proper Implementation. Best Practices For Optimizing MFA Strategies Are Proposed [1]–[5].

Author: Priti Parshuram Prabhu

Area of research: Computer Application

Business Intelligence (BI) Has Revolutionized Decision-making In Organizations By Leveraging Data-driven Insights. The Integration Of Artificial Intelligence (AI) Into BI Enhances Data Processing, Predictive Analytics, And Automation, Enabling Businesses To Make More Informed Decisions. This Paper Explores The Role Of AI In BI, Focusing On Its Applications, Benefits, Challenges, And Future Trends. Furthermore, It Delves Into The Methodologies Used In AI-driven BI And The Impact On Various Industries, Offering A Comprehensive Overview Of The Transformative Potential Of AI In Modern Business Environments.

Author: Rajas Mestry | Siddhi Kadam

Area of research: Rural Development

The Development Of Transport Infrastructure Is Essential For The Socio-economic Advancement Of Rural Areas In Tamil Nadu. It Affects Agricultural Productivity, Job Creation, Access To Education And Healthcare, And Overall Quality Of Life. This Study Investigates The Current State, Challenges, And Strategies For Enhancing Rural Transport Infrastructure. It Looks At Factors Like Road Connectivity, Public Transportation, Government Initiatives. The Analysis Includes The Evaluation Of Government Schemes Like The Pradhan Mantri Gram Sadak Yojana And State-level Initiatives, Assessing Their Effectiveness In Improving Rural Mobility. By Examining Both Primary And Secondary Data, The Study Aims To Offer Insights And Policy Recommendations For Sustainable Transport Improvements That Can Drive Economic Growth And Raise Living Standards In Rural Tamil Nadu.

Author: Madhubharathi S | Dr. M.D. Chinnu

Area of research: Mechanical Engineering

The Aim Is To Design And Develop A “Steering Controlled Headlight Mechanism” Which Acts As Directional Headlights. This Is Done By Connecting Headlights And Steering. Present Day Automobiles Don’t Have Effective Lighting System. Due To This Many Accidents Are Taking Place During Night Times Especially In Ghat Sections. The Accidents Can Be Avoided By Incorporating Steering Control Headlight Mechanism. The Rack And Pinion Steering Gear Mechanism Are Used For This Project. When The Steering Wheel Is Rotated And Rotary Motion Is Converted To Translatory Motion Through The Rack And Pinion Mechanism. When The Front Wheels Are Steered, The Headlights Follow The Same Path And The Light Is Focused On More Divergent Area. In The Present Project, It Is Planned To Design “Steering Controlled Headlight Mechanism” And A Live Model Unit Is Fabricated.

Author: Vivek Kumar | Pritam Kumar | Durga Kumar | Rishi Kumar | Prof. Sabde Abhijit Manoharrao

Area of research: Cyberhogs

Neural Control/interfacing/interaction Is A Powerful Means, Which Can Develop A Robust Bridge Between Humans And Machines. In This Paper We Emphasize On Neural Interfacing As An Evolving Trend In Wireless Communications By Taking Into Account One Of Its Important Application I.e. Cyborgs. A Cyborg Is A Cybernetic Organism (i.e. An Organism That Is A Selg-regulating Integration Of Artificial And Natural Systems. Here We Discuss The Operational Features Of Cyborgs. In An Attempt To Promote Greater Interaction Between Humans And Computers, Companies That Develop (cybernetic) Robotics Technologies Participate In A Variety Of Seductive Strategies That Embody The Cyborg Discourse. Some Of These Strategies Persuade Individuals To Concede To Particular Philosophies, Such As The Argument That Technical Artifacts And Instrumental Reasoning Are Necessary For Effective Social Development. With The Experiments Conducted And Proposed To Be Conducted In Future And In The Process Give A Brief Description Of The Advantages And Disadvantages Of This Technology.

Author: Deepak Rajbhar | Nikita Chauhan

Area of research: Computer Science And Engineering

Blockchain Technology Serves As The Cornerstone For Addressing Security Issues Related To Voting, Utilizing Cryptographic Hashes To Ensure Comprehensive Verification From Start To Finish. In This Context, Each Valid Vote Is Treated As A Transaction Within The Blockchain Of The Voting Application. The Face Voting System, Which Employs Blockchain Technology, Aims To Bolster Both The Security And Transparency Of The Electoral Process. Initially, Users Are Required To Submit A Verification Request To The Administrator. Upon Approval, They Can Cast Their Votes Through A Facial Recognition Mechanism, Which Guarantees That Only Authorized Individuals Are Permitted To Participate. By Leveraging Blockchain, The System Creates Immutable Records That Thwart Fraudulent Activities, Thereby Fostering A Secure, Decentralized, And Reliable Voting Atmosphere. Votes Are Stored In The Backend Database And Subsequently Added As New Blocks To The Blockchain Following Successful Mining. The System Upholds The Principle Of One-person, One-vote By Utilizing Each Voter's Unique Fingerprint, Which Is Verified At The Beginning Of The Voting Process To Prevent Duplicate Voting. Once A Vote Is Mined, A Transaction Specific To That Vote Is Generated, And Any Fraudulent Votes Are Discarded By The Miners. Following The Validation Process, Voters Receive Immediate Notifications Via Message Or Email, Including A Transaction ID That Allows Them To Track Their Vote Within The Ledger. While This Serves As A Notification, It Does Not Disclose How Any Individual Voted, Thus Preserving Voter Privacy. It Is Crucial To Highlight That Each Voter Is Identified In The Blockchain By A Unique Cryptographic Hash, Which Enhances The Verifiability Of The Entire Voting Process. Additionally, This ID Remains Concealed, Ensuring That Even System Operators Cannot Access It.

Author: Mrs.Sasikala | Daniyal Rax T | Ijas Ahamed | Jayapraveen | Shaam Sundar

Area of research: ECE

The Project Presents A Fault-efficient Advanced Encryption Standard (AES) Design For Image Cryptography, Focusing On Customizing SubBytes And MixColumns, Which Are The Most Critical Hardware Components. The Proposed AES Architecture, Implemented Using Verilog HDL And Simulated In ModelSim 6.4c, Aims To Reduce Area And Delay While Maintaining High Security. Both Application-Specific Integrated Circuit (ASIC) And Field-Programmable Gate Array (FPGA) Implementations Are Targeted, With Performance Evaluation Performed Using Xilinx Synthesis Tools.An 8-bit Datapath Is Employed, Where Two Dedicated Register Banks Store Plaintexts, Keys, And Intermediate Results. To Reduce Logic Consumption, The ShiftRows Operation Is Performed In The State Register Using An I/O Combination Of A Serial Solution. Round Modules, Including SubBytes, MixColumns, And AddRoundKey, Operate In Parallel And Repeat 10 Times During Encryption And Decryption. A Global Counter Applies The EN_SIG Signal, Which Generates Critical Control Signals Such As DATA_IN_SEL, LAST_RND_SIG, And KEY_IN_SEL To Manage Data Flow Effectively.The AES Decryption Process Mirrors The Encryption Process By Reversing The Transformations In The Round Module, Ensuring Robustness And Security. This Design Is Particularly Suitable For Lightweight, Resource-constrained IoT Devices, Addressing Growing Concerns About Data Privacy And Unauthorized Access. By Customizing The AES Datapath, The Proposed Architecture Reduces Hardware Footprint And Clock Cycles, Making It Highly Efficient For Real-time Cryptographic Applications. The Modular And Parallel Structure Of The Design Enhances Processing Speed While Maintaining The Required Security Standards.Overall, The Presented AES Accelerator Ensures A Balance Between Security, Fault Efficiency, And Performance, Making It Ideal For Secure Image Encryption In IoT And Embedded Systems.

Author: M.Shanmugam | K.Nandhakumar | M.Selvabharathi | L.Srihari | A.Venugopal

Area of research: Computer Science Engineering

Monitoring And Updating Attendance Records Of Students Is An Integral Part Of Activities In Schools And Colleges. To Mitigate The Laborious Work Of Keeping Attendance Records, An Automated Method Of Attendance Monitoring Using Face As A Biometrics Is Proposed. In This Paper, Face Detection And Recognition For Maintaining Student Attendance Using Deep Learning Methodology Is Presented. Face Detection In Low Resolution CCTV Footage Is Achieved Using The Haar Cascade Algorithm With Detection Accuracy. The Detection Is Not Limited To Frontal Face Detection. It Also Has Side Face Selection Along With Varied Illumination Situations. These Detected Faces Are Then Used To Create A Student Face Database. The Convolutional Neural Network (CNN) Is Trained On This Face Database For Student Recognition To Mark Attendance. The Proposed CNN Provided Face Recognition Accuracy For The Implemented Network.

Author: Adhil Abdul Mazdeen | Afthab Sadique | Ajay Krishna EJ | Angel Joy | Govind EK.

Area of research: Arts

Flexible Work Schedules Have Become A Crucial Component Of Modern Corporate Life, Impacting Both Organizational Productivity And Employee Performance. This Study Looks At How Flexible Work Hours Affect Workers' Productivity, Job Happiness, And General Performance At A Few Chosen Tidel Park, Coimbatore, Businesses. The Purpose Of The Study Is To Determine Whether Or Whether Employee Motivation, Work-life Balance, And Stress Levels Are Improved By Flexible Work Schedules. Employees And HR Specialists Are Surveyed And Interviewed In Order To Gather Information For The Analysis Of Performance Indicators And Productivity Trends. The Study Also Looks At Possible Drawbacks Of Flexible Work Schedules, Like Poor Communication And Problems Coordinating Teams. The Results Of This Study Will Give Firms Thinking About Implementing Or Improving Flexible Work Policies Important Information.The Findings Are Anticipated To Highlight Optimal Practices For Increasing Worker Productivity While Also Ensuring Employee Well-being.

Author: Dr.A.R.Kanagaraj | Jishaa. S

Area of research: Computer Science And Engineering

Driver Distraction Is A Significant Factor Contributing To Road Accidents Worldwide. According To Statistics, Distracted Drivers Are Three Times More Likely To Be Involved In A Crash Than Non-distracted Drivers. Therefore, Detecting Driver Distraction Is Crucial For Improving Road Safety. Many Previous Studies Have Proposed Various Methods For Driver Distraction Detection, Including Image-based, Sensor-based, And Machine Learning-based Approaches. However, These Methods Have Limitations In Terms Of Accuracy, Complexity, And Real-time Performance. This Project Proposes A Novel Approach To Driver Distraction Detection Using The You Only Look Once (YOLO) Object Detection Algorithm With A Convolutional Neural Network (CNN). The Proposed Model Consists Of Two Main Stages: Object Detection Using YOLO And Classification Of The Detected Objects. The YOLO Algorithm Is Used To Detect And Locate Various Objects In The Driver's Environment, Including The Driver's Face And Hands, And Other Objects That May Cause Distraction. Then, The Detected Objects Are Classified Using A CNN To Determine Whether The Driver Is Distracted Or Not. The Proposed Model Is Evaluated Using A Public Dataset And Achieves High Accuracy In Detecting Driver Distraction. And Also Analyse The Drowsiness Of Driver Based On Eye Features Using CNN Algorithm. The Proposed Method Has The Potential To Be Integrated Into Advanced Driver Assistance Systems To Improve Road Safety With Real Time Environments.

Author: S.R.Mathusudhanan | Mohamed Naveeth B | Sangili Saravana M | Manikandavasan S | Pavan Kumar K

Area of research: Computer Science And Engineering

Mesh Topology Is A Robust And Reli- Able Network Design Commonly Utilized In Scenarios Requiring High Fault Tolerance And Consistent Data Flow. Packet Tracer, A Versatile Network Simulation Tool Developed By Cisco, Provides An Ideal Environment For Implementing And Studying The Be- Haviour Of Mesh Networks. This Abstract Highlights The Process And Benefits Of Implementing Mesh Topology In Packet Tracer For Educational And Practical Purposes. In A Mesh Topology, Every Node Is Interconnected, Either Fully Or Partially, Ensuring Multiple Communication Paths. This Redundancy Minimizes The Risk Of Network Failure, Making It A Popular Choice For Mission- Critical Networks. The Implementation In Packet Tracer Involves Creating And Connecting Nodes, Such As Routers, Switches, And PCs, Using Appropriate Cables And Configurations To Simulate Full Or Partial Mesh Networks. Protocols Such As OSPF Or EIGRP Are Configured To Optimize Routing And Demonstrate Self- Healing Capabilities. Simulating Mesh Topology In Packet Tracer Offers Several Advantages. It Provides An Interactive Platform To Visualize And Analyse Data Flow, Fault Tolerance, And Load Balancing. Students And Network Professionals Can Experiment With Different Configurations, Observe The Effects Of Link Failures, And Understand How Routing Protocols Adapt To Maintain Network Connectivity. This Abstract Underscores The Value Of Packet Tracer As A Tool For Learning And Experimenting With Mesh Topology, Helping Users Gain A Deeper Understanding Of Real-world Network Design Principles And Their Practical Applications

Author: Ashly M Devasia | Suranya Das M S

Area of research: Technology

Human Life Is Becoming Easier In This Digital Age As Nearly Everything Is Automated, Taking The Place Of Outdated Manual Procedures. These Days, People Cannot Function Without The Internet, Which Has Become An Essential Component Of Their Daily Lives. The

Author: Priya Gupta | Vibha Patel

Area of research: Biotechnology

As Drug-resistant Fungal Diseases Continues To Rise, Currently Used Therapeutic Antibiotics Have Become Ineffective. In Response To This, New Approaches Are Needed To Combat Drug-resistant Fungal Diseases. Adjuvants, Such As Phytochemicals Or Essential Oi

Author: K. Dhanusree | R. Vijayan

Area of research: Electronics And Telecommunication

This Project Presents The Design And Development Of A Bluetooth-controlled Vacuum Cleaning Machine, Offering A Smart And Efficient Solution For Automated Cleaning. The System Integrates Microcontroller Technology, Bluetooth Communication, And Motorized Cleaning Mechanisms To Allow Remote Operation Via A Smart Phone Application. The User Can Control The Movement And Cleaning Functions Of The Vacuum Cleaner Using A Mobile App. The Bluetooth Module Transmits User Commands To The Microcontroller, Which Processes Them To Navigate And Operate The Vacuum System. The Machine Ensures Smooth Movement And Efficient Cleaning. This Project Highlights The Feasibility Of Wireless Control For Household And Industrial Cleaning Applications, Enhancing Convenience And Reducing Manual Effort.

Author: Sanika Anand Chinche | Monika Niranjan Godhawale | Shravani Suresh Tambe | Siddhi Laxmikant Zanwar | Sudnyata Avinash Sankpal | Aarti Rai

Area of research: Computer Science Engineering

The MSBTE Marksheet Extractor Is A Flask-based Application Designed To Automate The Extraction And Processing Of Student Marksheets From PDF Files. Using Pdfminer For Text Extraction And Regex-based Parsing, It Retrieves Student Details, Marks, And Classi

Author: Krushna Kale | Sumit Joshi | Vishal Kolte | Prof- A. C. Naik

Area of research: Software Engineering

Object-Relational Mapping (ORM) Is An Essential Component Of Modern Application Development, Enabling Seamless Communication Between Programming Languages That Follow OOPS And Relational Databases. However, Developers Often Face Confusion When Choosing Be

Author: Ansari Sairabanoand | Sheetal Suryavanshi

Area of research: Computer Science

Every Business Must Keep Its Books Of Accounts Up To Date For Each Fiscal Year In Order To Determine The Overall Impact Of Its Operations. Traditionally, A Qualified Accountant With Solid Bookkeeping And Accounting Skills Has Done The Bookkeeping By Hand.

Author: Mrs.T.J.Krithika | R.Logeshwaran

Area of research: Commerce With Corporate Secretaryship CA

With The Popularity Of Mobile Devices And New Technologies And Digitalization, Digital Payment Takes Place Of Plastic Cards And Currency Digital Payment Methods Play Significant Role In The Current Scenario. In The Context Of Technological Innovations, The Adoption Process Is Also Influenced By One Or Several Factors That Are Incorporated In The New Product. Consumer Adoption Is The Process Which Determines Whether To Adopt The Technological Innovation Or Not. This Process Is Influenced By The Characteristics, Such As Personality Traits And Demographic Or Socioeconomic Factors Of The Users. Digital Payments Are The Trend Of The Day. In A Mixed Economy Like Ours, This Is A Great Boon For All The Users Around The World. Digital Payment System Is Completely Changing The Traditional System Of Making And Receiving Payment Throughout The World. It Saves Time, Energy And Resources. In This Study, The Customer Awareness And Factors Influence To Access The Digital Payment Apps Had Been Made To Know The Technological Access Behaviour Of The Users.

Author: Dr. R. Geetha | A. Marimuthukumaran

Area of research: MCA

State Management Plays A Vital Role In Flutter Application Development, Directly Influencing Performance, Scalability, And Maintainability. With Multiple State Management Solutions Available, Selecting The Right Approach Can Significantly Impact An App’s Efficiency. This Research Paper Presents A Comparative Analysis Of Four Widely Used State Management Solutions In Flutter: GetX, Provider, Riverpod, And BLoC (Business Logic Component). The Study Evaluates These Approaches Based On Frame Rendering Time, Memory Consumption, CPU Usage, And Widget Rebuild Efficiency To Determine Their Effectiveness In Handling State Changes. To Conduct The Analysis, Identical Flutter Applications Were Implemented Using Each State Management Method. These Applications Were Tested Under Varying Conditions To Measure Their Responsiveness, Efficiency, And Ease Of Use. The Results Indicate That GetX Provides Minimal Boilerplate And Fast Reactivity, Making It Ideal For Lightweight Applications. Provider, As Flutter’s Officially Recommended Solution, Integrates Well With The Widget Tree But May Introduce Performance Overhead In Complex Applications. Riverpod Enhances Provider By Offering Better Scalability And Flexibility, Making It Suitable For Large-scale Applications. BLoC, Known For Its Structured And Event-driven Approach, Excels In Managing Complex State Transitions But Has A Steeper Learning Curve And Higher Boilerplate Code. The Findings Of This Study Aim To Help Flutter Developers Choose The Most Efficient State Management Solution Based On Their Project Needs. Future Research May Explore State Management Performance In Flutter Web And Desktop Applications, As Well As The Impact Of Asynchronous State Updates On Real-time Applications.

Author: Dr. Uday Aswalekar | Akhilesh Vishwakarma

Area of research: MCA

The Rapidly Advancing World Of Streaming Services Has Seen The Emergence Of Innovative Data Distribution Strategies, Content Personalization Techniques, And The Incorporation Of Geo-location Information. This Paper Explores The Interdependence Of These Elements, Offering A Comprehensive Analysis Of Various Data Distribution Mechanisms, Their Impact On User Satisfaction, And How Geo-location Data Enhances User Engagement. The Study Highlights A Range Of Data Distribution Methods, Including Content Delivery Networks (CDNs), Edge Computing, And Serverless Technologies, Discussing Their Role In Ensuring Smooth Streaming Experiences For Diverse Audiences Worldwide. At The Same Time, It Evaluates How Personalized Content Suggestions, Driven By Individual User Behavior And Preferences, Are Further Optimized Through The Integration Of Geo-location Insights. Through A Case Study On Video Streaming Platforms, This Paper Demonstrates How These Advanced Techniques Are Implemented In Practice. By Examining A Popular Video-on-demand Service, We Aim To Illustrate How Real-time Data Distribution Methods And Intelligent Recommendation Algorithms Work Together To Create Customized Viewing Experiences. This Case Study Sheds Light On The Dynamic Interplay Between Content Distribution, Personalization, And Geo-location, Showcasing Their Collective Impact On Enhancing The User Experience In Digital Streaming Environments. Additionally, The Paper Discusses The Role Of Real-time Analytics In Fine-tuning Content Delivery, How Data Distribution Optimizes System Performance, And How Geo-location Data Can Help Tailor Content Recommendations Based On Regional Preferences, Ultimately Boosting Viewer Satisfaction.

Author: Dr. Uday Aswalekar | Essakimuthu Yadav

Area of research: Computer Applications

The Role Of Database Administrators (DBAs) Has Traditionally Been Rooted In Manual Operations Such As Backups, Performance Tuning, And Anomaly Detection. However, As Data Complexity Grows, Manual Management Becomes Inefficient, Increasing Downtime And Operational Costs. The Integration Of Machine Learning (ML) Into Database Administration Provides Automated Solutions For Predictive Maintenance, Intelligent Indexing, Real-time Anomaly Detection, And Self-healing Capabilities. This Paper Explores How AI-driven Automation Enhances Traditional DBA Functions, Drawing Insights From Multiple Research Papers. The Study Highlights Advancements In AI-powered Database Tools Such As DBSitter, AI-driven Indexing, And Self-optimizing Systems, Demonstrating How These Innovations Reduce Human Intervention While Improving Efficiency, Security, And System Resilience.

Author: Nitu Mathura Gupta

Area of research: Computer Science

Data Encryption Has Been One Of The Pivotal Domains For Research. For A Long Time Is Has Happened To Be A Field Of Enormous Research Work Because Of Its Aspect Of Strong Data Protection. Initially Data Used To Be Handled In Text Formats Only, But With Ti

Author: Ajay Singh Patel | Prof. Sunil Parihar

Area of research: Computer Science

Computer And Wireless Networks Have Undergone A Paradigm Shift With The Advent Of Big Data. One Of The Most Serious Challenges Of The Present Day Networks In The Medium Access Control Domain Is The Rapidly Increasing Number Of Users And Limited Bandwidth. Hence Multiplexing Techniques Which Would Utilize The Available Bandwidth Resources Effectively Are Being Searched For. Non-Orthogonal Multiple Access (NOMA) Has Emerged As One Of The Promising Options For Future Generation Multiplexing Solutions. In NOMA, The Signals Are Separated In The Power Domain Which Allows The Simultaneous Transmission At The Same Time And Frequency Range Thereby Augmenting The Spectral Efficiency. However, Due To Multipath Fading Effects, Power Level Separation Is Often Complex To Implement In Real Time Situations. In This Paper, NOMA Based Transmission Mechanism Has Been Proposed Which Employs Decision Feedback Equalization Along With Successive Signal Detection Based On Power Level Separation. To Emulate A Real Life Scenario, Different Path Gains Have Been Considered For Near, Average And Far Users In A Typical Cellular Network. The Performance Of The Proposed System Has Been Evaluated In Terms Of The Bit Error Rate Both Without And With The Proposed System Being Used. It Has Been Shown That Employing The Proposed System, The Error Performance Of Average And Far Users Almost Coincide With That Of The Near Users Thereby Indicating The Fact That All Users In The NOMA Based System Can Be Detected With Almost Identical Accuracy.

Author: Nitesh Tiwari | Prof. Sunil Parihar

Area of research: Computer Science

This Paper Presents A Comprehensive Survey On Non-Orthogonal Multiple Access For Multiple Access In Wireless Networks. As Networks Are Now Migrating Towards The Wireless Domain As Opposed To The Wired Domain, The Need For More Efficient Bandwidth Allocation Mechanism Is Necessary.With The Advent Of Big Data Applications, Increasing Number Of Users, Increased Bandwidth And Data Requirement Yet Limited Bandwidth Availability Have Become Serious Challenges. Hence Future Generation Wireless Networks Would Need Improved Multiple Access Techniques Than Their Present Day Counterparts. Non-Orthogonal Multiple Access Is A Technique In Which Multiple Users Data Is Separated In The Power Domain. The Problems Addressed By NOMA Are Low Overall Bandwidth For Multiple Users. This Paper Presents A Comprehensive Review And Taxonomy Of The NOMA Based Multiple Access Framework.

Author: Nitesh Tiwari | Prof. Sunil Parihar

Area of research: Computer Science

Heart Disease Or Cardiovascular Disease (CVD) Is The Leading Cause Of Death In The World. Around 17.9 Million People Die Prematurely Because Of Heart Disorders. Much Of The Deaths Occur In Low And Middle-income Countries [1]. CVD Relates To A Collection Of Heart Or Blood Vessel Malfunction Such As Coronary Heart Disease, Congenital Heart Disease, And Peripheral Arterial Disease. Diagnosis Of These Cardiac Problems Often Involves Listening To The Heart Sounds Through The Phenomenon Of Cardiac Auscultation [2]. One Of The Common Methods To Perform Cardiac Auscultation Electronically Is Through Phonocardiograph. This Paper Presents A Comprehensive Review On Automated Classification Of PCG Data Using Machine Learing. The Contemporary Techniques Along With The Salinet Features Of The Apprapches Used.

Author: Mo Faizan Multani | Prof. Srashti Thakur

Area of research: Computer Applications Department

Blockchain Technology Has Changed The Way Of Conducting Business By Providing A New Form Of Organization That Is Decentralized, Secure And Transparent. Nevertheless, Having Gained Popularity, It Has Become A Major Hub For Adversarial Attacks, Which Are Co

Author: Mohamed Taher R Nashnosh | Mohamed Mahmoud Alkabir | Tarek Ayad H Shaladi

Area of research: FINTECH

The Rise Of Artificial Intelligence (AI) In The Fintech World Has Truly Transformed How We Handle Risk Management. With Its Advanced Capabilities, AI Helps Us Predict, Assess, And Tackle Financial Risks More Accurately And Efficiently Than Ever Before. Th

Author: Subashree.K | Cheerin Fathima.J

Area of research: Computer Applications

The Website Is Designed To Create A Dynamic, User-focused Experience Using WordPress, Advanced Custom Fields (ACF), And Gravity Forms. It Features A User Information Dashboard That Collects And Displays Personalized Data, Including UTM Source And Campaign Name For Tracking Marketing Campaigns. Gravity Forms Is Used For Customizable Form Submissions, Which Collect User Data, And This Information Is Stored Using ACF. The Dashboard Dynamically Presents The Data, Offering An Interactive Experience With Conditional Logic To Efficiently Track User Acquisition And Campaign Performance.

Author: Mr. P. Vimal | Ms. S. Malini

Area of research: HR

This Study Investigates The Impact Of Training On Employee Job Satisfaction Among LinkedIn Employees In Coimbatore. A Quantitative Research Approach Was Employed, And A Survey Questionnaire Was Administered To A Sample Of 137 Employees. The Results Show T

Author: Dr. S. Jagatheeshwari | Janani S

Area of research: Medical Electronics

Sleep Apnea Presents Significant Challenges In Timely Diagnosis And Treatment, Often Exacerbated By Limitations In Accessing Polysomnography (PSG) Conducted In Sleep Labs. This Study Proposes A Novel Home-based PSG System To Revolutionize The Diagnosis An

Author: Diwakar S | Sam Infant Joe A | Udhaya S | Dr. Chandrasekaran V

Area of research: Computer Science And Engineering

Votex Is A Progressive System For Automatic Text Overview And Language Generation, Dealing With The Growing Need For Fast, Accessible Information Processing. Using NLP Techniques (natural Language Processing), Such As TF-IDF, The System Extracts Critical

Author: Alint JoShaju | Ann Mary | Diya MolSabu | Pranav VV | Sayooj CS

Area of research: Blockchain Technology

Identity Systems Form The Foundation Of Our Digital Society, Enabling Authentication And Authorization Across Services. However, Centralized Identity Systems Are Prone To Breaches, Identity Theft, And Lack Of User Control. Blockchain Technology Offers An

Author: Pradeep Suthar | Vijay Gupta

Area of research: Handwriting And E-Text Recognition With Sentiment And Emotion Analysis: A Hybrid Deep Learning Approach

Despite The Convenience Of Pen And Paper, Managing Handwritten Documents Remains Challenging Due To Issues With Storage, Retrieval, And Sharing. Handwriting-to-text Conversion (HTC) Addresses These Limitations By Transforming Handwritten Text Into A Digit

Author: Aarthi S | Lathika M | Loganayaki M | Mrs.A.Kanimozhi

Area of research: Environmental Engineering

This Paper Explores The Integration Of Green Forestry Into Elevated Metro Lines As A Sustainable Urban Development Strategy. The Study Presents A Comprehensive Framework For Designing And Implementing Vegetation Systems Within Metro Infrastructure, Focusi

Author: Dhinesh kumar. R | Raja Murugan | Vengadanathan.M

Area of research: CSE

Brain Stroke Is A Serious Health Issue That Requires Timely And Accurate Prediction For Effective Treatment And Prevention. This Study Described A Hybrid System That Used The Best Feature Selection Method And Classifier To Predict Brain Stroke. The Stroke

Author: Arjun Kumar Soni | Prof. Shobha Rajak | Nagendra Kumar

Area of research: Computer Science

With Social Media Making Its Presence Felt Wide And Far, Its Consequences Are Also Far Reaching At Least In The Context Of Imagery. The Amount Of Information That Can Be Shared By Images Is Enormous As Compared To Test Data. However, There Remains A Chance Of Fake And Forged Image Data That Can Be Circulated Which Can Result In Disastrous Consequences For Individuals, Firms Or Communities At Large. With The Advancements In Image Editing Tools, It Is Practically Impossible To Detect Fake Or Forged Images By The Naked Human Eye. Moreover, The Number Of Images Shared Specifically On Social Media Platforms Is So Large That Human Intervention Is Practically Infeasible. In This Paper, Image Forgery Detection Has Been Carried Out Using Artificial Neural Networks And Image Processing Techniques. The Configuration Of The Neural Networks Is The Ada-boost Network. The Performance Index Is The Classification Accuracy. It Has Been Shown That The Proposed Technique Achieves Higher Classification Accuracy Compared To Previously Existing Methods For The Same Dataset.

Author: Madhu Malviya | Prof. Sanmati Jain

Area of research: GAME DEVELOPMENT

Problem Statement: Conventional Gaming Landscapes Are Frequently Static, Constraining Both Replayability And Realism. Objective: Create A Procedurally Generated Scene Using Real-time Physics And Dynamic Environmental Simulations In Unreal Engine 5.

Author: Mrs.R.Ranitha | Sriram Manikandan C | Santhosh M | Raphael D | Vishnu R

Area of research: CSE

Android Is The Most Popular Operating System For Smartphones And Small Devices With 86.6% Market Share. Its Open-source Nature Makes It More Prone To Attacks Creating A Need For Malware Analysis. Main Approaches For Detecting Malware Intents Of Mobile App

Author: Soumya Singhai | Prateek Gupta | Nagendra Kumar

Area of research: Computer Science And Engineering

Sign Language Recognition Has Gained Significant Attention In Recent Years As An Essential Tool For Bridging The Communication Gap Between Individuals With Hearing Impairments And The Broader Society. Traditional Approaches Relying On Convolutional Neural

Author: Anish S | Dharani K | Jayasri B | Mr. R. Rajkumar

Area of research: Computer Science & Engineering

Facial Expression Recognition (FER) Is One Of The Most Popular Research Interests In Computer Science And Can Be Applied In Many Real Time Applications. Most Of The FER Systems Apply Machine Learning Techniques Such As Convolutional Neural Network And Sup

Author: Namrata Khade | Anushka Bodekar | Aarohi Dabrase | Payal Bansod | Sanskarika Khode

Area of research: Aviation Tech

Cloud Computing Has Transformed The Landscape Of Crew Management By Offering Scalable, Real-time, And Collaborative Solutions For Geographically Distributed Teams. This Review Paper Explores The Role Of Cloud-based Crew Management Systems In Streamlining

Author: Geetika kapil

Area of research: Aviation Tech

The Integration Of Artificial Intelligence (AI) Into Crew Scheduling Represents A Paradigm Shift In The Transportation And Logistics Sectors. By Automating Complex Decision-making Processes And Delivering Real-time Insights, AI Is Transforming How Organiz

Author: Geetika kapil

Area of research: Generative AI Applications

Modern Day Computing Is Heavily Influenced By The Applications Of Artificial Intelligence In Terms Of Providing Solution To The Complex Problems In A Fast And Reliable Manner. Presently A Number Of The Generative AI Applications Have Been Designed And Dev

Author: Dr. Dharam Pal Singh

Area of research: Financial Management

This Study Focuses On The Financial Behaviours And Reactions To Economic Issues Of Generation Z, Millennials, And Generation X As It Relates To Risk And Debt Management. The Study Examines How Each Generation Responds To Debt, Investments, And Financial S

Author: Dr R Chandrasekaranand | Mistica M

Area of research: AL/ML

This Project Focuses On Developing An AI/ML-based System For Removing Haze And Smoke From Images, Enhancing Visibility In Adverse Environmental Conditions. Using Deep Learning Techniques, Particularly Convolutional Neural Networks (CNNs) And Image Process

Author: A. A. Pande | Vanshika Patel | Samruddhi Nathile | Ritika Langote | Khushi Choudhari

Area of research: PHYTOCHEMISTRY

Phytochemicals Are Bioactive Compounds Found In Plants That Contribute To Human Health By Providing Antioxidant, Anti-inflammatory, Antimicrobial, And Anticancer Properties. These Naturally Occurring Compounds Include Flavonoids, Alkaloids, Tannins, And T

Author: D. Herin Sheeba Gracelin | P. Benjamin Jeya Rathna Kumar

Area of research: Commerce

Artificial Intelligence (AI) Plays A Vital Role In Enhancing Customer Satisfaction In E-commerce, Particularly On Platforms Like Amazon. This Study Examines The Impact Of AI-driven Technologies Such As Personalized Recommendations, Chatbots, Predictive An

Author: Ms. Veera Devi.V | Mr. C. Balaji

Area of research: Computer Science

T2DM, Or Type 2 Diabetes Mellitus, Has Become A Major Global Health Concern Due To Its High Prevalence And Related Medical Expenses. With An Emphasis On Data-driven Strategies That Make Use Of Patient Health Information, Such As Blood Sugar Levels, Body M

Author: K. Krishnaveni | DR. R Porkodi

Area of research: Computer Science And Engineering

Node Localization Is A Fundamental Challenge In Wireless Sensor Networks (WSNs) As Precise Location Estimation Is Essential For Various Applications. Traditional Localization Techniques, Including Bio-inspired And Mathematical Models, Often Struggle With

Author: Pratheesh R | Pranav jeyan V | Srikanth K | T. Gobinath

Area of research: Computer Science And Engineering

Oral Cancer Is A Significant Public Health Concern Globally, With Early Detection Playing A Crucial Role In Improving Patient Outcomes. In This Project, We Propose A Novel Approach For Oral Cancer Detection Leveraging Deep Learning Techniques. The System

Author: Akilarasan B | DineshL S | Sakthivel S | Revathi P

Area of research: Embedded

Electricity Theft Is A Major Challenge Faced By Power Distribution Networks Worldwide. It Leads To Significant Financial Losses For Utility Companies And Hampers Efforts To Promote Sustainable Energy Usage. To Tackle This Problem, We Propose An Innovative

Author: J.Karthikeyan | A.Dhanasekaran | B.Srinivasan | E.Suthiksan

Area of research: Arts

Teaching Is A Challenging Job That Often Exposes Teachers To High Levels Of Stress, Which Affects Their Health And Work Efficiency. Considering An Emphasis On Important Factors And Demographic Differences, This Study Attempts To Investigate The Stress Lev

Author: Lohithaa G | Dr.S.Jagatheeswari

Area of research: Mechanical Engineering

This Study Presents The Design And Optimization Of A Two-cavity Injection Mould For LDP24FS040 Caps, Enhancing Efficiency By Producing Two Caps Per Cycle. Key Factors Like Cavity Layout, Runner System, And Cooling Channels Were Optimized For Performance.

Author: Manthan Dhawale | Shreyash Giri | Aditya Bagul | Piyush Gaikwad | Deep Gogawale | Prof.N.N.Kokare

Area of research: Computer Science And Engineering

Pothole Detection Is An Essential Task In Road Maintenance And Transportation Safety, As Damaged Roads Contribute Significantly To Vehicle Damage, Accidents, And Economic Loss. Traditional Pothole Detection Methods, Such As Manual Inspections And Sensor-b

Author: Hariharan K | Logesh A | Sibi S | Sudha R

Area of research: Computer Science & Engineering

Child Safety, Especially For Children With Disabilities, Demands Advanced Monitoring And Rapid Emergency Response Solutions. This Paper Introduces An AI-driven Wearable Safety System That Provides Real-time Protection Through Fall Detection, Gesture-based

Author: Annalakshmi D | ,Karuppusamy M | Manivel S | Santhiya D

Area of research: Computer Science And Engineering

Flood Hotspot Prediction Is Critical For Urban Resilience And Disaster Mitigation, Yet Existing Methodologies Often Lack Real-time Usability And Integration Of Advanced Geospatial Analytics. This Survey Paper Comprehensively Reviews State- Of-the-art Mach

Author: Mathan Raj M | Nirmalraj K | Karthisan M | C. Sangeetha

Area of research: Electronics And Instrumentation Engineering

The Proportional-Integral-Derivative (PID) Controller Is A Traditional Controller For Industrial Process Control And Shows An Vital Part In Keeping The Control Variable At An Ideal Set Point By Comparing The Real Response With Predefined Response Of The S

Author: Dr.P.Moniya1, M.Rishi | M Rishi | S.Gopivarman | B.Giridharan

Area of research: Medical Electronics

A Wearable Oxygen Concentrator Generator Is An Innovative Medical Device Specifically Intended For Round-the-clock Oxygen Therapy And Full Mobility. In Contrast To Conventional Portable Oxygen Concentrators (POCs), Which Are Heavy And Must Be Transported In Carts Or Bags, Wearable Oxygen Concentrators Are Very Light, Collapsible, And Easy To Wear On The Body, E.g., On The Belt Or In Vest Type. The Devices Recycle And Deliver Oxygen From The Air That Surrounds Us, Enhancing Patient Mobility, Convenience, And Autonomy. Hands-free, They Prevent The Fatigue Of Wearing Heavy Units, Making Them Suitable For Active Patients Suffering From Respiratory Conditions Such As COPD, Asthma, Or Pulmonary Fibrosis. Wearables Also Minimize Hospital Visits And Improve Home Care. Compared To Portable Concentrators, Wearables Are More Ergonomic, Lighter, And More Convenient, Enabling More Effortless Oxygen Therapy In Daily Life. Future Innovation Will Include AI-managed Oxygen Flow Control And Real-time Monitoring Of A Person's Health, Further Transforming Respiratory Health.

Author: Prakash P | Parinitha T | Krishnaveni A | Rajasaran M

Area of research: Medical Electronics

It Offers A Groundbreaking Non-surgical And Removable Hearing Solution Through Bone Conduction Technology. This Innovative Device, Called The SoundBite Hearing System, Helps Individuals With Hearing Loss By Using An Intraoral Device Combined With A Microphone On The Impaired Ear. The System Integrates A GSM Modem, Arduino Controller, And Audio Amplifier To Function Effectively. The GSM Modem Not Only Receives Calls But Also Answers Them Automatically Through AT Commands. The Incoming Audio Is Converted Into Low-frequency Vibrations, Which Are Transmitted Through The Teeth To The Cochlea, Avoiding The Need For Invasive Surgery. Unlike Traditional Bone Conduction Hearing Aids That Require Implantation, SoundBite Is Designed To Be User-friendly, Fully Removable, And Completely Non-invasive.Traditional Hearing Aids Generally Focus On External Ear Issues And Often Require Surgical Procedures For Internal Ear Problems, Which Can Lead To Additional Risks. The Proposed Device Utilizes An Arduino-based Digital Processor To Convert Sound Signals Into Vibrations Using A Piezoelectric Actuator. These Vibrations Travel Through The Bone, Delivering Sound Directly To The Cochlea. The Device Is Designed For Convenience, Fitting Securely On The Upper Back Teeth Without The Need For Any Dental Modifications.

Author: K.Vanitha | R.Sowbarnika | S.Bhuvaneshwaran | D.SaiDhanush | A.Vignesh

Area of research: Arts

Author: Ms.V. Preethika | Nirmal N

Area of research: Medical Electronics

Proprioceptive Rehabilitation Is An Important Part Of Restoring Motor Coordination And Proprioceptive Awareness In People With Neuromuscular Disorders, After Stroke, and With Musculoskeletal Injuries. Conventional Rehabilitation Techniques Fail To Provide Feedback in Real Time, Which Restricts Their Benefits. This Work Introduces The Wearable Haptic Device For Proprioceptive Rehabilitation (WHD-PR), Which Improves Therapy Delivery Incorporating Force-sensitive Sensors, vibrotactile Feedback, And Graphical Representation. It Includes Five Force Sensors On The Fingers Where The Force Experienced Is Sensed And Sent Through Voltage-controlled Vibrations On the Arm That Is Proportional To The Force. Signal Noise Is Reduced With Transistors, LCDs Showcase Real-time Values Of Forces, while Integration With LabVIEW Allows Haptic Responses To Be Graphically Visualized, Enabling Better Therapy Analysis. Integrating These Two Modalities With Body-worn Sensors, This Low-cost Device Weighs Only 112 Gm And Is Effective For Use In Clinic And Home, While Providing Automated Feedback-loop Control To Improve Motor Recovery And Therapy Delivery.

Author: Poornima P | Jenisha J | Gokul M | Jamuna A

Area of research: NA

Phytonematodes Are A Significant Threat To Citrus Cultivation In India, Leading To Substantial Yield Losses And Affecting The Quality Of Fruits. Among The Most Damaging Species Are Meloidogyne Spp. (root-knot Nematodes), Radopholus Similis, And Tylenchulus Semipenetrans, Which Attack The Root System, Impair Nutrient And Water Uptake, And Promote Secondary Infections. Despite The Severity Of These Infestations, There Is A Lack Of Comprehensive, Region-specific Data On Nematode-induced Yield Losses, With Some Studies Estimating Up To 40% Reduction In Yield In Highly Affected Orchards. Traditional Chemical Control Methods, Though Effective In The Short Term, Pose Environmental Risks And Contribute To Nematode Resistance. Consequently, Integrated Management Strategies, Including Cultural Practices, Biological Control, Resistant Rootstocks, And Organic Amendments, Are Gaining Traction. However, Challenges Such As The High Cost Of Biological Agents, Insufficient Awareness Among Farmers, And A Lack Of Early Detection Tools Persist. Future Research Should Focus On Breeding Nematode-resistant Rootstocks, Developing Affordable Diagnostic Tools, And Promoting Sustainable Integrated Nematode Management (INM) Practices. Bridging These Research Gaps Is Essential For Improving The Resilience Of Citrus Farming In India And Reducing Dependency On Harmful Chemical Inputs.

Author: Pooja A. Katare

Area of research: Computer Science And Engineering

Tree Topology Is A Fundamental Net- Work Architecture That Offers A Hierarchical Structure, Making It Suitable For Large-scale Networks, Including Enterprise Environ- Ments And Academic Institutions. This Review Paper Presents A Comparative Analysis Of Tree Topology Implementation Using Two Widely Used Network Simulation Tools: Cisco Packet Tracer And Network Simulator 2 (NS2). The Study Evaluates Key Aspects Such As Ease Of Use, Simulation Depth, Scalability, Performance Analysis Capabilities, And Real-world Applicability Of Both Tools. Packet Tracer, With Its Graphical Interface, Is Ideal For Network Configuration, Troubleshooting, And Educational Training, Pro- Viding An Intuitive Environment For Learners And Professionals. In Contrast, NS2 Offers In-depth Network Modeling, Traffic Flow Analysis, And Statistical Performance Evaluation, Making It More Suitable For Research-oriented Simulations. The Findings Highlight The Strengths And Limitations Of Each Tool, Providing Insights Into Which Platform Is Best Suited For Different Networking Scenarios. This Study Serves As A Reference For Researchers, Educators, And Network Professionals In Selecting The Most Appropriate Simulation Tool Based On Their Specific Requirements.

Author: Akshara PB | Prof. Suranya Das

Area of research: Commerce

Customer Preferences And Expectations Play A Crucial Role In Shaping The Success Of Service-based Industries. This Study Explores The Key Factors Influencing Customer Choices, Including Service Quality, Digitalization, Personalization, Brand Reputation, P

Author: Dr. Kanagaraj.P | Ms.Jananisree.P

Area of research: Arts

Author: Ms.B.Sooriapriya | N.S. Arjun

Area of research: Arts

The Profitability Of Retail Enterprises Is Greatly Influenced By Employee Satisfaction, Which Also Affects Overall Organizational Performance, Customer Service Quality, And Productivity. In Order To Assess Employee Satisfaction At Lulu Hypermarket, This S

Author: Ms.B.Sooriapriya | S.Vaishnavi

Area of research: ARTS

Author: Ms.B.Sooriapriya | K. Adhith

Area of research: Computer Science And Engineering

The Exponential Growth Of Visual Data Demands Robust Content-Based Image Retrieval (CBIR) Systems That Ac- Curately And Efficiently Retrieve Relevant Images. In This Paper, We Present A Novel CBIR Framework That Integrates AutoEncoders For Latent Feature

Author: Ayush Anand | Shreyansh Narayan | Vinayak Gupta

Area of research: Computer Science

Sleep Disorders Affect Millions Worldwide, Leading To Significant Health Complications, Including Cardiovascular Diseases, Obesity, Cognitive Impairments, And Mental Health Disorders. Traditional Diagnostic Methods, Such As Polysomnography(PSG), Are Expen

Author: Dr.V.Shanmugapriya | Jeeva.N

Area of research: Farming

Released On February 27, 2025, The Agriculture Sector Is Undergoing A Digital Transformation, With Technology Playing A Crucial Role In Improving Efficiency, Productivity, And Sustainability. This Report Explores Various Technological Advancements In Farm

Author: Rahul Dubey | Rahul Dubey

Area of research: VIRTUALIZATION

The Fifth Generation (5G) Of Mobile Networks Introduces Transformative Services With Strict Requirements For Performance, Security, And Dependability. Multi-access Edge Computing (MEC), A Cornerstone Of 5G, Enhances Network Efficiency By Reducing Latency, Enabling Real-time Local Awareness, Supporting Cloud Offloading, And Mitigating Traffic Congestion. These Advancements Are Critical For Mission-critical Applications But Come With Security And Reliability Challenges That Are Of- Ten Underexplored Alongside Performance. This Survey Paper Addresses This Gap, Presenting A Comprehensive Analysis Of 5G MEC’s Security, Dependability, And Performance, Along With State-of-the-art Solutions And Challenges In These Domains. Inter- Net Of Things (IoT) Security Has Garnered Significant Attention Due To Its Vulnerability To Attacks Such As Denial Of Service (DoS) And Data Breaches. A Novel Machine Learning (ML)-based Security Framework Leveraging Software Defined Networking (SDN) And Network Function Virtualization (NFV) Is Proposed To Counter These Threats. This Framework Employs AI-driven Mon- Itoring And Anomaly-based Intrusion Detection, Demonstrating High Accuracy (99.715G Also Enables Diverse Services Through Virtualization, Softwarization, And Network Slicing, Fostering The Rise Of Mobile Virtual Network Operators (MVNOs). While These Technologies Enhance Flexibility, They Also Introduce Complex Security Implications. This Paper Reviews Security Challenges And Potential Solutions For MVNOs, Emphasizing The Critical Role Of Robust Virtualization Techniques, Such As Microkernel-based Environments, Which Enhance Resource Utilization And Security. In The Domain Of Smart Grids (SG), Integrating Power Networks With Information Technologies Introduces Vulnerabilities Due To Increased Automation And Connectivity. The Application Of ML In SG Enhances Attack Detection And Threat Analysis But Also Exposes Systems To Adversarial ML Attacks. This Survey Examines The Security And Privacy Challenges Of SG, Presenting Taxonomies And Novel Findings To Address These Issues.

Author: Akshara PB | Prof.Hasna M

Area of research: RF MEMS APPLICATION

Microelectromechanical Systems (MEMS) And Na- Noelectromechanical Systems (NEMS) Have Revolutionized Various Technological Fields, Including Sensors, Energy Harvesters, And RF Communication. The Recent Research Contributions Focusing On MEMS/NEMS-based Re

Author: Akshara PB | Prof. Hasna M

Area of research: Aviation Tech

The Application Of Big Data Analytics In Airline Crew Planning And Aircraft Ground Services Has Revolutionized Workforce And Operational Management By Enhancing Efficiency, Reducing Costs, And Improving Decision-making [1, 2, 4]. Crew Planning Is A Comple

Author: Geetika Kapil

Area of research: Arts

One Of The Key Foundations Of The Indian Economy Is The Automobile Sector. The Purpose Of The Study Is To Determine How Satisfied Customers Are With An Organization. The Degree To Which A Company's Goods Or Services Live Up To Consumer Expectations Is Mea

Author: Ms.V.Preethika | Shrinidhi E

Area of research: Computer Science

Socio-economic Disparities Remain A Pervasive Barrier To Equitable Access To Education In India. This Paper Explores How Income Inequality, Rural-urban Divides, Gender-based Inequalities, And Marginalization Of Specific Communities Impede Access To Qualit

Author: Dr.S.Suganyadevi | Sandhiya M

Area of research: Commerce

Employee Retention Is A Critical Factor In Ensuring Organizational Stability And Growth, Particularly In The Textile Industry, Which Is A Key Economic Sector In Coimbatore. This Study Investigates The Various Strategies Employed By Textile Companies To Re

Author: Professor Dr. M.S.Ranjithkumar | Ms. Chithrapriya P

Area of research: ECE

In The Fast Growing Communication Field, Requirements Of Low Power Designs Are Increasing To Reduce The Power Losses And Decrease The Thermal Losses In The Same Ratio.Multiplier Is An Arithmetic Circuit That Is Extensively Used In Common DSP And Communica

Author: U.Meiyarasan | G.Sathishkumar | M.Selvakumar | Dr. J.Rangarajan

Area of research: Mechanical Engineering

An Automatic Flipping Plate Mechanism Is An Innovative System Designed To Automatically Flip Plates Or Flat Objects By 180 Degrees Without Manual Intervention, Ensuring Increased Efficiency And Productivity In Various Industrial Applications. This Mechani

Author: Mr. Siddhesh Ubhe | Mr. Vishal Pasalkar | Ms. Ekta Joshi | Mr. Prathamesh Waghmare | Prof. B.V. Sabale

Area of research: NA

Citrus Cultivation Is A Vital Component Of Global Horticulture, Yet It Faces Persistent Threats From Plant-parasitic Nematodes (PPNs) That Compromise Root Health, Reduce Yield, And Affect Fruit Quality. This Review Explores The Diversity Of Nematodes Associated With Citrus Crops, Including Key Genera Such As Tylenchulus, Meloidogyne, And Pratylenchus, And Highlights Their Pathogenic Impact On Plant Growth And Orchard Productivity. The Mechanisms Of Nematode-citrus Interaction, Including Life Cycles, Infection Behavior, And Interactions With Soil Microbiota, Are Discussed To Provide A Foundational Understanding Of Nematode Ecology. Furthermore, The Review Presents Current Diagnostic Approaches, From Traditional Soil And Root Analysis To Advanced Molecular Techniques. A Comprehensive Overview Of Management Strategies Is Provided, Covering Cultural Practices, Chemical And Biological Controls, Host Resistance, And Integrated Nematode Management (INM). The Paper Concludes By Addressing Key Challenges And Future Perspectives, Emphasizing The Need For Farmer Education, Sustainable Control Methods, Technological Innovation, And Supportive Policy Frameworks. Together, These Insights Contribute To The Development Of Holistic And Environmentally Sound Strategies For Effective Nematode Management In Citrus Production Systems.

Author: Pooja A. Katare

Area of research: Computer Science

Nadi Pariksha, An Ancient Ayurvedic Pulse Diagnosis Technique, Is Gaining Renewed Interest Due To Advancements In Machine Learning (ML) And Artificial Intelligence (AI). This Paper Surveys The Integration Of ML Techniques With Nadi Pariksha To Modernize A

Author: J Suvetha | Dr. S. Kumaravel

Area of research: Artificial Intelligence

Released On February 27, 2025, ChatGPT 4.5 Represents A Major Milestone In The Evolution Of Natural Language Processing (NLP) And Artificial Intelligence (AI). Building Upon Decades Of Research And The Technological Breakthroughs Of Its Predecessors, This

Author: Vaibhav Paresh Raval | Ankush Dubey

Area of research: Commerce

Human Resource Management (HRM) Plays A Critical Role In The Success Of Organizations By Managing People Effectively. In Roots Industries, A Leading Manufacturer Known For Its Automotive And Industrial Products, HR Practices Are Structured Around Key Func

Author: Dr. Nancy Sebastina.J | Ms.Deva Sri.V

Area of research: India

This Study Evaluates The Financial Performance Of The Export-Import Bank Of India (EXIM Bank) From 2013 To 2024. Using Secondary Data From Annual Reports, Key Financial Indicators Such As Deposits, Credits, Total Assets, Shareholder Equity, Return On Equi

Author: Dr.B.Ramya | S.Sudakaran

Area of research: Coimbatore

This Study Explores Users' Preferences And Satisfaction Towards E-learning Websites, Focusing On Factors Influencing User Engagement And Platform Selection. With The Increasing Adoption Of Online Education, Understanding User Behavior And Satisfaction Lev

Author: Dr. P. Pirakatheeswari | Aakash V.C

Area of research: Mechanical Engineering

The Modular Fabrication Of Pre-Assembled Units (PAU) And Pre Assembled Racks (PAR) Is Revolutionizing Industrial Construction By Improving Efficiency, Reducing Costs, And Enhancing Safety. PAUs Are Large, Prefabricated Sections Of A Facility That Integrat

Author: Mr.V.Muthukumar | A.Mohamed Halith | J.Mohamed yasar | N.Mohammed Fahed

Area of research: Electrical Engineering

Transmission Line Is The Most Crucial Device Of The Power System. The Power And Commitment Requirement Had Developed Up To An Exponential Scale With Regard To The Recent System, And The Most Crucial Operation Of A Transmission Line Is To Transfer Electric Power From The Source Point To The Distribution System. The Explode Between Limited Production, And A Colossal Claim Has Enhanced The Priority Of Reducing Power Losses. Losses Such As Transmission Loss And Also The Supposed Factors As Much As Possible Nearest To The Physical Losses Other Than Technical Losses, Another Parameter Is The Foremost Factor It Possess The Reactive Power And Voltage Deviation Are Significant For Long-distance Power Line Transmission. Fault Analysis Is A Critical Focusing Problem In Power System Engineering In Virtual To Remove Fault In Short Time And Return To Normal Power System As Early As Possible With Nearly No Interruption. Fault Detection, However, Line Breaking The Transmission Line Is Also Challenging Task To Study Fault As Well As To Enhance The Reliability Of The System. The GSM Module Served To Transmit Information To The Relevant Authorities.

Author: Roshan Ingale | Swapnil Tayade | Manish Patil | Sakshi Hirole | Rohini Ingale | Assist.Prof. Nilesh Budukhale

Area of research: Mechanical Engineering

CNC, Mini Mill, Desktop CNC, Benchtop Mill, Spindle, Ball Screws, Linear Rails, Stepper Motor, G-Code, CAD/CAM, 3-Axis, Engraving, Prototyping, Aluminum, Steel, PCB Milling.

Author: Mr.Dhiraj Dashrath Sathe | Mr.Atharva Vinayak Kumbhar | Mr.Sahil Sham Mankar | Mr.Mukund Mahadev Bhalerao | Prof. Manoj Charate

Area of research: Computer Science And Engineering

In Recent Years, The Global Healthcare Landscape Has Witnessed Significant Challenges Due To The Rising Burden Of Chronic Diseases, Epidemics, And Pandemics. Despite Advances In Medical Technology, Early Disease Detection Remains A Critical Issue. Traditi

Author: Ankush S. Narkhede | Akash V. Talele | Dhanashree M.Chim | Neha V. Varade | Apurva P. Kharche

Area of research: Mechanical Engineering

This Study Investigates The Performance Of A Centrifugal Fan Using A Combination Of Computational Fluid Dynamics (CFD) Simulations And Wind Tunnel Testing. The Primary Objective Is To Evaluate The Fan's Airflow Characteristics, Pressure Rise, And Overall

Author: Mr.M.Dineshkumar | S.Manickavel | K.Paraneetharan | M.Rohith

Area of research: ECE

Mining Operations, Especially In Underground Coal Mines, Pose Significant Risks To Workers Due To Hazardous Environmental Conditions Such As High Temperatures And The Presence Of Toxic Gases Like Methane And Carbon Dioxide. Ensuring Miners' Safety Remains

Author: S vasanth | R Santhosh | R Shyamprasanth | R Vimalarasi

Area of research: Computer Science & Engineering

Content-based Picture Retrieval From Vast Resources Has Recently Gained Popularity In A Variety Of Issues. This Thesis Introduces The Contend-based Image Retrieval System, Which Combines Colour, Shape, And Texture As Visual Cues To Characterize The Conten

Author: Kamlesh Kumar Rai | Mr.Anil Malviya | Prof. C. K. Tiwari

Area of research: Information Technology

With Increased Internet Usage, One Of The Most Prevalent Problems Faced Is Constant Spamming. While Web Applications And Mailing Services Are Heavily Spammed, The Upsurge Of Handheld Mobile Devices Has Led To An Outburst Of Heavy Mobile Spamming. The Matt

Author: Mukesh Bhuriya | Mr. Anil Malviya | Dr. Jay Prakash Tiwari

Area of research: Mechanical Engineering

The Precision Machining Industry Relies Heavily On The Effectiveness Of Jigs And Fixtures To Ensure The Accurate And Efficient Production Of Components. In The Context Of 3-axis Vertical CNC Machining Centers, The Design Of Innovative Jigs And Fixtures Is

Author: Mr.R. Karthik | K. Priyadharshini | E. Shewag | M. Rohit

Area of research: Mechanical Engineering

The Treatment Of Dyeing Industry Wastewater Is A Critical Environmental Concern Due To Its High Levels Of Color, Turbidity, Suspended Solids, Dissolved Solids, And Chemical Oxygen Demand (COD).The Study Was Conducted By First Reviewing Relevant Literature

Author: Mr.Vaijunath Raut | Mr. Avinash Gujar | Mr.Karan Hajare | Mr.Tejas Pawar | Prof.Sachin Surywanshi

Area of research: CSE

Recently, Due To The Rapid Development Of Online Social Networks (OSNs) Such As Facebook, Twitter, And Weibo, The Number Of Calculators/social Bots That Imitate Human Users Has Increased. As Artificial Intelligence (AI) Improves, Social Bots Are Getting Smarter And Better At Manipulating People’s Calculation Behaviors. Building A Reliable And Efficient Search Engine Is Crucial To Keeping OSNs Clean And Users Safe. Despite The Rapid Development Of Social Bot Search Platforms, State-of-the-art Systems Still Face Challenges Related To Model Generalization (and Whether It Can Be Adapted To Different Types Of OSNs) And Good Networks. Bots Spread Misinformation And Are Difficult To Detect Based On A Single Piece Of Content, But Advanced Techniques Can Detect Bots With High Accuracy. Social Media Bot Detection Can Use Negative Comments Or Other Scripts To Detect Bots. Social Media Bots Can Target Different Audiences By Creating Fake Models. The Proposed Model For Bot Operated Account Detection Vs. Human Operated Account Detection Method Is Based On Past Tweeting History Of The User. Certain Attributes Such As Friends, Followers Count, And Favorites Were Considered As Features For Designing A Classifier To Detect Bots. In The Proposed Model, The Historical Behavior Based On User Posted Tweets Are The Main Concerned For Detecting All The Accounts.

Author: Sakshi Pachori | Dr. Preeti rai

Area of research: ECE

Ensuring Safety In Rail Transportation Is A Critical Challenge, Particularly In Preventing Collisions With Obstacles And Animals On Tracks. This Project Presents A Comprehensive Collision Avoidance System Leveraging Artificial Intelligence (AI) And Intern

Author: T Suganraj | S Meganath | C Pragya | P Venkateswari

Area of research: Management Studies

Consumer Psychology Is An Interdisciplinary Field Drawing From Various Disciplines Such As Social Psychology, Marketing, And Behavioural Economics To Deepen The Understanding Of Consumer Behaviour. Effective Marketing Strategies Hinge On A Profound Compre

Author: A. Pappu Rajan

Area of research: Mechanical Engineering

The Main Aim Of This Paper Is To Create An Innovative Integrated System That Harnesses Renewable Energy, Specifically Solar And Wind Sources, To Generate Four Valuable Outputs Simultaneously. Electricity, Hydrogen, Freshwater, And Cooling, Tailored To Mee

Author: Mr.E. Sivaprakash | P. Somasundaram | M. Sabari | S. Sanjay

Area of research: Civil Engineering

The Treatment Of Dyeing Industry Wastewater Is A Critical Environmental Concern Due To Its High Levels Of Color, Turbidity, Suspended Solids, Dissolved Solids, And Chemical Oxygen Demand (COD).The Study Was Conducted By First Reviewing Relevant Literature

Author: M. Sasindar | V. Indhumathi | S. Sakthivel

Area of research: Civil Engineering

This Study Investigates The Thermal Degradation And Energy Recovery Potential Of Multilayered Plastic (MLP) Waste Through Pyrolysis, Presenting An Innovative Approach To Addressing The Challenges Of Plastic Waste Management And Energy Sustainability. Comp

Author: R. Rachel Rubina | V. Indhumathi | M. Nandhini

Area of research: Civil Engineering

This Study Evaluates The Efficiency Of A Designed Phytoremediation System In Treating Domestic Wastewater, Focusing On Pollutant Removal, Optimal Hydraulic Retention Time (HRT), Potential Reuse Of Treated Water, And Associated Ecological Benefits. The Sys

Author: S. Israth Banu | R. Dhilipkumar | S. Venkateswaran

Area of research: Corporate Secretaryship With CA

A Certain Level Of Financial Literacy Is Required For Managing Finances, Borrowing Money, Saving, And Investing. For Today's Young, A Lack Of Personal Finance Understanding Has Led To Numerous Problems. They Have Little Knowledge About Money, Market Trend

Author: Ms.B.Sooriapriya | Nitheesh N

Area of research: ECE

In Modern Digital Systems, Power Efficiency Is A Critical Design Parameter, Especially In Applications Like Mobile Devices, IoT, And Embedded Systems. Clock Gating Is A Widely-used Technique For Reducing Dynamic Power Consumption By Disabling The Clock Si

Author: S Pranesh | V Premsai | L J Saurav | S vasanthiriya

Area of research: Computer Science

With Increasing Number Of Users And Multimedia Applications, Bandwidth Efficiency In Cellular Networks Has Become A Critical Aspect For System Design. Bandwidth Is A Vital Resource Shared By Wireless Networks. Hence Its In Critical To Enhance Bandwidth Efficiency. Orthogonal Frequency Division Multiplexing (OFDM) And Non-Orthogonal Multiple Access (NOMA) Have Been The Leading Contenders For Modern Wireless Networks. NOMA Is A Technique In Which Multiple Users Data Is Separated In The Power Domain. A Typical Cellular System Generally Has The Capability Of Automatic Fallback Or Handover. In Such Cases, There Can Be A Switching From One Of The Technologies To Another Parallel Or Co-existing Technology In Case Of Changes In System Parameters Such As Bit Error Rate (BER) Etc.Multi User Detection Or MUD Is A Serious Challenge Faced In The Field Of Wireless And Cellular Communications. Due To The High Spectral Efficiency, Non-orthogonal Multiple Access (NOMA) Based Systems Are Becoming The Latest Choice For 5G Networks And Onwards. This Paper Presents A Review On Co-existence Of NOMA And OFDM Systems For Future Generation Wireless Networks.

Author: Sakshi Gurao | Prof. Sunil Parihar

Area of research: Computer Science

Data Mining, Opinion Mining, Sentiment Analysis, Machine Learning, Classification Accuracy.

Author: Kiran Prajapati | Prof. Sunil Parihar

Area of research: Artificial Intelligence And Machine Learning

This Paper Presents A Machine Learning-based Fake News Detection System That Employs NLP Techniques And Classification Models To Assess The Authenticity Of News The Widespread Dissemination Of Fake News Has Emerged As A Significant Challenge In The Dig

Author: M. Vijayalaskhmi | Abisheak | Jameel ahamed | Sadha usain | Mohamed afsal

Area of research: Sign Language Recognition

Communication Barriers Exist For Individuals With Hearing And Speech Impairments Due To The General Population’s Lack Of Familiarity With Sign Language. Traditional Means Of Communication Rely On Human Interpreters, Which Are Often Unavailable, Expensive,

Author: Dr. M. Sarathkumar | N.G.M.Abishekk | S.Ram Prasad

Area of research: Machine Learning , Image Processing , AI Powered Content Generation

Imagine Sitting Down With A Cup Of Coffee, Excited About Turning A Few Words And Images Into A Stunning Film. That's Exactly What AI In Video Production Is Making Possible Today. With Tools Like Remotion.js And Next.js, The Process Of Creating Videos Beco

Author: M.A. Divya | R. Aravind Raj | M. Muthu Vijaya Prakash | S. YogaJena

Area of research: NURAL NETWORK ALGORITHM

Online Social Systems Have Become An Important Part Of Everyday Life. Peoples Used To Share Personal Content With Friends Circle In The Social Networks. Unfortunately, Social Networks Provide Very Little Support To Prevent From A Harassment And An Unwante

Author: Mrs.M. Vijayalakshmi | MEERA HUSSAIN L | AAKASH BALAN R | HARRISH J | SIVA KUMAR D

Area of research: Computer Science And Business Systems

Access To Relevant And Accurate Information Is At The Heart Of Tourism, More So In This Era Of The Internet Information Overload Has Become A Prevalent Phenomenon And As Such A Serious Issue For Those Seeking For Appropriate Information.Further More, Vari

Author: Pandiselvi R | Anbuselvi S | Divyasri R

Area of research: CONSTRAINT SATISFACTION AND HEURISTIC OPTIMIZATION

This Paper Introduces An Automated Exam Hall Allocation System (AEHAS) Designed To Optimize Seating Arrangements In Academic Institutions. The System Is Developed Using A Constraint-Based Heuristic Algorithm That Ensures Fairness, Prevents Departmental Cl

Author: SHANMUGAPRIYA L | D SHIVANI | S SUDHESHNA | SUVITHA M | R ARUNKUMAR

Area of research: Artificial Intelligence

This Project Aims To Develop An AI-powered Financial Document Analysis System That Leverages The Groq LLM And Advanced Natural Language Processing Techniques To Extract, Summarize, And Analyze Critical Financial Data From Complex Documents Such As Balance

Author: Pandiselvi R | Praveen R | Prabhu S | Eswar Karthik R M | Jeya Gokul Raja J

Area of research: Computer Science

Cardiovascular Diseases (CVDs) Remain The Leading Cause Of Mortality Worldwide, With Sudden Heart Attacks Accounting For Millions Of Deaths Annually. Early Detection And Real-time Monitoring Of Cardiovascular Anomalies Can Significantly Reduce Fatalities

Author: Ramakrishna Thotakura

Area of research: Computer Science

Everyone Dreams Of Owning A Home That Aligns With Their Lifestyle And Meets Their Unique Needs, Including Essential Amenities. Factors Like Area, Location, And Views Play A Major Role In Determining The Price Of A House. However, Predicting House Prices C

Author: E.Devi Swetha | Dr.R.Porkodi