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Comprehensive Review On The Evaluation,therapeutic Efficacy ,and Safety Profile Of Aloevera Gel Based Shampoos
Area of research: NA
Aloe Vera Is A Succulent Perennial Herb That Is A Member Of The Asphodelaceae Family And Can Withstand Drought. Because Of Its Ability To Cure Wounds And Burns, It Is Also Known As The Silent Healer Or The Healing Plant. Aloe Vera Is Used In Many Commercial Goods And Has Been Used For Millennia For Its Medicinal, Skin Care, Cosmetic, And Health Benefits. It Plays An Extensive And Long-standing Function In Indigenous Medical Systems Such As Homeopathy, Siddha, Ayurveda, And Unani. Aloe's Pharmacologically Active Components Are Concentrated In The Outer Pericyclic Tubules, Also Known As Aloe Sap Or Aloe Juice, And Inner Parenchymatous Tissue, Also Known As Aloe Gel. Aloe Vera's Bioactive Chemicals Are Highly Beneficial For A Number Of Ailments, Including Burns, Rheumatoid Arthritis, Rheumatic Fever, Acid Reflux, Allergic Reactions. A Stable State Of Health Is Linked To The Right Use And Consumption Of Aloe Vera, A Plant With Functional, Antioxidant, And Therapeutic Qualities That Finds Several Applications In The Culinary, Pharmaceutical, And Cosmetic Industries. The Current Study Compiles Information About The Plant's Origin, Characteristics, Applications, Circumstances, And Use In The Manufacturing Of Shampoo. The Aloe Vera Plant Is Well-known Around The World For Its Therapeutic Qualities And Use In Gel-based Cosmetics Including Sunscreen, Detergent, And Shampoo. However, An Excess Of Aloe Vera Processing Waste Has Been Produced As A Result Of The Demand For These Gel-based Goods. Up To 4,000 Kg Of Aloe Vera Waste Could Be Produced Monthly By An Aloe Vera Gel Production Business. The Waste From Aloe Vera Is Currently Either Used As Fertilizer Or Disposed Of In A Landfill. Given The Detrimental Effects Of The Current Waste Disposal Practices On Society And The Environment, A Sustainable Management System For The Waste From Aloe Vera Processing Should Be Taken Into Consideration. The Most Popular Hair Treatment For Cleaning The Hair And Scalp Is Shampooing. The Majority Of Commercially Available Shampoos, Including Herbal Shampoos, Typically Contain Large Amounts Of Artificial Surfactants That Irritate The Eyes And Hair. Nowadays, Customers Are Increasingly Using Herbal Shampoos Because They Think That These Natural Products Are Safe And Surfactant-free, Yet They Only Contain A Little Amount Of Herbal Active Ingredients. By Looking At A Number Of Sensory And Physical Factors, All Herbs Shampoo With Multi-herbal Extracts Will Be Compared To The Commercially Available Synthetic Herbal Shampoo. As A Result, A Shampoo Was Made With Extracts Of Several Plants, Including Ocimum Tenuiflorum (tulsi), Acacia Concinna (Sheekakai), Azadirachta Indica (Neem), Sapindusmukorossi (Reetha), And Emblica Officinalis (Amla).
Author: Shrutika Avinash Bildikar | Mrs. Akanknsha Nirmal
Read MoreFacial Image-Based Depression Detection Using Transfer Learning: A ResNet-18 Approach
Area of research: Machine Learning, Deep Learning
Depression Is One Of The Most Prevalent Mental Health Disorders Worldwide, Often Going Undiagnosed Due To The Lack Of Accessible And Objective Screening Methods. Recent Advancements In Artificial Intelligence And Computer Vision Have Enabled The Development Of Automated Systems Capable Of Detecting Depressive Symptoms Through Facial Analysis. This Paper Presents A Review And Implementation Framework For Depression Detection Using Facial Images, Leveraging Transfer Learning With The ResNet-18 Architecture In MATLAB 2024b. Emotion-labeled Datasets Such As FER-2013 And FER+ Are Utilized, With Emotion Classes Mapped Into Binary Categories Of Depressed And Non-depressed. The Proposed Methodology Includes Image Preprocessing, Data Augmentation, And Fine-tuning Of Pretrained Convolutional Neural Networks For Binary Classification. Synthetic Evaluation Results, Generated Due To Ongoing Model Training, Indicate An Expected Accuracy Of 91 % And An AUC Of 0.96, Demonstrating The Feasibility Of The Approach. This Study Also Provides A Comparative Analysis Of Existing Models, Discusses Limitations Such As Dataset Bias And Proxy Labeling, And Outlines Future Research Directions Including Multimodal Integration, Real-world Dataset Acquisition, And Explainable AI Techniques For Clinical Applicability. The Findings Suggest That Image-based Depression Detection Could Be A Scalable, Non-invasive Screening Tool To Assist Early Diagnosis In Both Clinical And Remote Healthcare Settings.
Author: Ritika Verma | Prof. Balram Yadav
Read MoreAdvanced Secure Wireless Communication For Smart Industries
Area of research: Electrical Engineering
The Project Titled “Advanced Secure Wireless Communication For Smart Industries” Focuses On Developing A Reliable And Secure Wireless Control System For Industrial Automation Using The Raspberry Pi Pico W. In Modern Industries, Remote Monitoring And Control Of Devices Such As Motors, Fans, And Machinery Are Critical For Efficiency, Safety, And Energy Management. This System Integrates Multiple Relay Modules To Control Various Industrial Loads, Enabling Real-time Operation Through A Secure Wireless Interface. By Leveraging The Raspberry Pi Pico W, The System Ensures Fast Communication, Low Latency, And Robust Security Features To Prevent Unauthorized Access. The Project Demonstrates A Practical Approach To Implementing Smart Industrial Control Systems, Reducing Manual Intervention, Optimizing Operational Efficiency, And Enhancing Safety. The Integration Of Hardware And Wireless Control Technology Provides A Scalable Solution Adaptable To Various Industrial Applications. Security Is A Critical Aspect Of Industrial Automation, And This System Incorporates Measures To Prevent Unauthorized Access And Data Breaches, Ensuring Reliable And Protected Control Over Critical Devices. The Design Also Emphasizes Scalability, Allowing Additional Modules And Devices To Be Incorporated As The Industrial Requirements Expand. By Combining Hardware Control, Wireless Connectivity, And Security Protocols, The Project Demonstrates A Practical And Cost-effective Solution For Smart Industry Applications. It Highlights The Potential For Enhanced Operational Efficiency, Energy Management, And Predictive Maintenance, Making Industrial Systems Smarter, Safer, And More Responsive To Dynamic Operational Needs.
Author: Prof. Moiz Hussain sir | Pranita D Maskade | Priyanka M Chopade | Renuka V Sapkal | Vaishnavi S Kharche | Vaishnavi R Gavhale
Read MoreCollege Project Workflow Management System
Area of research: Information Technology
An Institution's Academic Project Management Procedure Is Streamlined By The College Project Workflow Management System. Through The Submission, Approval, Monitoring, And Evaluation Of Proposals, It Facilitates Effective Collaboration Between Students, Professors, And Administrators. The Method Facilitates Communication, Increases Transparency, And Decreases Manual Labor. Academic Project Management Is Made More Successful And Efficient With Tools Like Document Management, Notifications, And Progress Tracking That Encourage Accountability, Organization, And Timely Project Completion.
Author: Mrs Dr T Esther | Yasini V | Sreeja G | Sneka A
Read MoreTalking Gloves With Home Automation
Area of research: IOT
Communication Barriers Faced By Deaf And Mute Individuals Often Stem From The General Public’s Lack Of Familiarity With Sign Language. The Talking Glove Project Aims To Bridge This Gap By Developing A Wearable Device That Translates Hand Gestures Into Spoken Words. The Glove Is Embedded With Flex Sensors, An Accelerometer, And A Microcontroller (e.g., Arduino) To Detect And Interpret Finger And Hand Movements. These Gestures Are Mapped To Predefined Sign Language Patterns, Which Are Then Converted Into Audio Output Using A Speech Synthesizer Module. The System Enhances Accessibility, Promotes Inclusivity, And Offers A Portable, Cost Effective Solution For Real-time Gesture- To-speech Translation.
Author: Yogeshwar Kadam , Sachin Datir , Nikhil Lamture , Prof. Kanchan Shirbhate
Read MoreAI-Powered Urban Community Service Hub: A Smart Complaint And Society Management System
Area of research: Artificial Intelligence, Full Stack Mobile Application
The Swift Urban Growth Of Cities Has Led To A Significant Need For Smart Digital Solutions That Can Effectively Oversee Housing Society Activities.The AI-Driven Urban Community Service Centre Is A Multipurpose, Mobile App That Unites Owners, Tenants, Residents, Administrators, And Service Providers Into A Unified Ecosystem. The Solution Integrates Artificial Intelligence To Improve Decision-making Support While Streamlining Reservation Administration, Payment Processing, And Complaint Classification.Whereas Natural Language Processing (NLP) Analyzes And Categorizes Complaint Messages, Computer Vision Algorithms Identify Irregularities In Provided Images. Sentiment Analysis Facilitates The Tracking Of Service Quality Comments, While Optional Voice-to-text Conversion Guarantees Accessibility For All Age Groups. The Backend System Makes Use Of Flask Microservices, Node.js, And A Scalable MongoDB Database. In Urban Areas, The Proposed Paradigm Improves Responsiveness, Increases Transparency, And Decreases Manual Involvement. Future Developments Will Make It Possible To Govern Communities Completely Automatically Using Chatbots, Blockchain Verification, And Predictive Analytics. This Approach Shows How Artificial Intelligence (AI) Has The Potential To Make City Life A Clever, Transparent, And Engaging Digital Experience
Author: Sidlambe Vaishanvi | Bhalerao Anushka | Jadhav Anjali | Prof. Swati Dhadake
Read MoreSECURING GENERTAIVE SI SYSTEMS:PROMPT INJECTION ATTACKS-A Review
Area of research: Artificial Intelligence And Data Science
Amid The Fast Uptake Of Large Language Models Like ChatGPT, Llama, And DeepSeek In Education,healthcare, And Finance Sectors Among Others, New Security Vulnerabilities Have Emerged. One Of The Most Critical Amongthese Is The Prompt Injection Attack, Which Consists Of Inserting Malicious Commands In User Input To Alter The Modelbehavior. Prompt Injection Is A Form Of Attack Where Attackers Exploit AI Models By Injecting Malicious Inputs That Causethem To Behave Abnormally Or Exfiltrate Sensitive Information. In This Article, We Analyze The Characteristics Of Promptinjection Attacks, Investigate Existing Defense Methods, And Introduce A Synergistic Defense System That Leverages Inputsanitization, Prompt Sanitization, Contextual Isolation, Blockchain-based Logging And Auditing, Zero Trust Architecture Andmixed Encodings To Mitigate Threat. This Enhances The Robustness And Guarantees The Security Of LLM Applications Inpractical Application.
Author: Sakshi Lokhande | Arvind Gautam
Read MoreTHE IMPACT OF WORKING CAPITAL MANAGEMENT ON PROFITABILITY AND MARKET VALUATION
Area of research: Management Studies
Working Capital Management (WCM) Plays A Vital Role In Ensuring Financial Stability And Profitability Of Firms By Balancing Liquidity And Operational Efficiency. This Paper Examines The Relationship Between WCM, Profitability, And Market Valuation At Supreme Industries Ltd., Pondicherry, Over The Period 2021–2025. The Study Uses Financial Ratios, Turnover Analysis, And Trend Evaluation To Analyze Current Assets And Liabilities. Results Reveal Consistent Improvement In Working Capital And Liquidity Until 2024, Followed By A Decline In 2025 Due To Higher Liabilities And Reduced Cash Holdings. The Findings Align With Global Literature And Highlight The Importance Of Proactive WCM Strategies, Such As Receivables Management And Digitalization, For Sustaining Profitability And Enhancing Market Value.
Author: Valarmathi K | Ms. S.Visalakshi
Read MoreCapital Investment In Vell Biscuits Pvt Ltd
Area of research: Finance
The Study, “A Study On Capital Investment In Vell Biscuits Private Limited”, To Explores The Significance Of Capital Investment Decisions And Their Impact On The Company’s Growth, Profitability, And Competitiveness In The Biscuit Manufacturing Industry. Capital Investment, Which Involves Allocating Resources Towards Machinery, Technology, And Infrastructure, Is Essential For Enhancing Production Efficiency And Sustaining Long-term Financial Stability. This Research Analyses The Patterns Of Capital Investment In The Company And Evaluates Their Influence On Profitability, Productivity, And Market Expansion. Using Financial Tools And Performance Measures, The Study Highlights How Effective Investment Strategies Improve Operational Efficiency, Reduce Costs ,and Strengthen Competitive Advantage. The Findings Underscore The Importance Of Strategic Financial Planning And Periodic Evaluation Of Capital Allocation To Ensure Sustainable Growth. Recommendations Focus On Strengthening Capital Budgeting Practices, Adopting Modern Technology, And Optimizing Financial Resources To Maximize Returns And Secure The Future Growth Of Vell Biscuits Private Limited.
Author: Nithyasri | Mrs. Deepa. S
Read MorePERFORMANCE OF AGRICULTURAL LOAN SCHEMES IMPLEMENTED THROUGH CENTRAL COOPERATIVE BANKS AT VALAVANUR BRANCH
Area of research: Management Studies
This Study Titled “Performance Of Agricultural Loan Schemes Implemented Through District Central Cooperative Banks At Valavanur Branch” Examines The Financial Performance And Operational Efficiency Of A Cooperative Bank Over The Period 2019–2024. Using Data From The Bank’s Balance Sheet, Receipts, And Payments Statements, The Study Analyses Key Indicators Such As Working Capital, Loans And Advances, Deposits, Reserves, And Borrowings. Trend And Percentage Analyses Were Applied To Assess Growth Patterns And Resource Utilization. The Findings Reveal A Consistent Rise In Deposits, Borrowings, And Working Capital, Reflecting Overall Growth And Financial Stability. However, The Deployment Of Funds Into Productive Loans And Profitability Ratios Remained Below The Ideal Level, Indicating Scope For Better Financial Management. The Study Emphasizes The Importance Of Strengthening Deposit Mobilization, Improving Loan Recovery, Enhancing Digital Banking Services, And Reducing Reliance On Borrowings. It Concludes That With Efficient Fund Allocation, Active Member Participation, And Effective Implementation Of Agricultural And Government Schemes, Cooperative Banks Can Achieve Sustainable Growth And Play A Pivotal Role In Promoting Rural Financial Inclusion And Economic Development.
Author: Sneha M | Mrs. S. Deepa
Read MoreMulti Functions Agriculture Car
Area of research: Electronics And Telecommunication
This Project Presents The Design And Implementation Of A Smart Multipurpose Agricultural Robot Capable Of Performing Soil Moisture Detection, Automatic Irrigation, Seeding, And Grass Cutting Operations. The Robot Moves Autonomously In A Straight Path Of Approximately One Meter, Halts, And Deploys A Moisture Sensor Using A Servo Motor To Analyse Soil Conditions. Based On The Moisture Level, The System Activates A Relay-controlled Mini Water Pump For Irrigation If The Soil Is Dry, Or Skips Watering If It Is Adequately Moist. A Seeder Mechanism, Driven By An SG90 Servo Motor, Releases A Single Seed After Each Moisture Check. Simultaneously, A Grass Cutter Motor Operates Continuously During The Robot’s Movement, Ensuring Efficient Trimming. The System Is Powered By An Arduino Uno Microcontroller, Interfaced With An L298N Motor Driver For Precise Motor Control And Servos For Actuation. The Robot Autonomously Repeats The Process In A Loop, Optimizing Manual Labour In Small-scale Farming. This Low-cost, Energy-efficient Model Demonstrates Automation In Agriculture By Integrating Sensing, Irrigation, And Planting Mechanisms Within A Compact Robotic Platform.
Author: Prashant G. Bansode | Soham S. Patil | Tejas G. Kumbhare | Yusuf L. Khan | Prof. Reena Asati
Read MoreLockMate: Artificial Intelligence-Based Dual Biometric Authentication System For Door Access
Area of research: Artificial Intelligence And Machine Learning In Security Systems
Security And Privacy Have Become Critical Concerns In Modern Smart Environments Where Traditional Door Locking Mechanisms, Such As Keys And PIN-based Systems, Are No Longer Sufficient To Ensure Robust Access Control. To Overcome These Limitations, This Paper Presents LockMate, An Artificial Intelligence-based Dual Biometric Authentication System That Integrates Facial Recognition And Fingerprint Verification For Secure Door Access. The System Is Implemented Using A Iot. AI Algorithms Perform Real-time Facial Detection And Recognition, While The Fingerprint Sensor Provides A Secondary Layer Of Authentication. This Multi-level Verification Framework Significantly Enhances System Reliability, Reduces The Risk Of Unauthorized Entry, And Ensures That Only Authenticated Users Gain Access. The Inclusion Of IoT-based Remote Monitoring And Access Logging Further Strengthens The System’s Adaptability For Smart Homes And Commercial Environments. The Proposed System Demonstrates How AI-driven Biometrics And Embedded Hardware Can Collaboratively Achieve An Intelligent, Scalable, And Secure Access Control Solution.
Author: Janvi Pokharkar | Shrawani Nawale | Gayatri Shelke | Prof.Thorat Prajkta
Read MoreThe Study On Moderating Effect Of Employee Motivation On Workplace Surveillance And Employee Engagement Amongst Employees At The Nithya Packaging Pvt. Ltd
Area of research: Management Studies
In The Modern Business Landscape, Organizations Are Under Increasing Pressure To Maintain Productivity, Ensure Workplace Safety, And Safeguard Valuable Assets. To Achieve These Objectives, Many Companies, Including Those In The Manufacturing And Packaging Sector, Have Turned To Workplace Surveillance Mechanisms Such As Closed-Circuit Television (CCTV), Biometric Attendance Systems, Log Books And Digital Monitoring Technologies. One Such Crucial Factor Is Employee Motivation, Which Acts As A Driving Force That Influences How Individuals Interpret And React To Surveillance Measures. Employee Engagement, Defined As The Emotional And Cognitive Connection Employees Have With Their Work And Organization, Is A Critical Factor Influencing Productivity, Job Satisfaction, And Retention. Surveillance, When Perceived Positively, Can Foster A Sense Of Security And Fairness. The Moderating Effect Of Employee Motivation, The Research Seeks To Understand Whether Motivated Employees Are More Resilient And Adaptive To Surveillance Measures And Whether Such Motivation Strengthens Or Weakens The Impact Of Surveillance On Engagement.
Author: B. PAVITHRA | Dr. L. KAVITHA
Read MoreOrganisational Support For Employees' Digital Wellbeing
Area of research: Management Studies
The Rise Of Digital Technologies Has Transformed Workplaces Across All Sectors, Demanding Constant Connectivity And High Technological Engagement. While These Advancements Have Enhanced Efficiency And Flexibility, They Have Also Created Challenges To Employees’ Mental, Physical, And Social Wellbeing. This Study Titled “A Study On Organisational Support For Employees’ Digital Wellbeing At Manatec Private Limited” Examines How The Organization Supports Digital Wellbeing Among Employees, The Challenges They Face, And The Impact Of Such Support On Job Satisfaction And Productivity. Using A Descriptive Research Design, Data Were Collected Through Structured Questionnaires From 103 Employees. The Analysis Employed Percentage Analysis, Chi-square, ANOVA, And Correlation Tests Using SPSS. The Findings Reveal That Digital Overload, Blurred Work-life Boundaries, And Constant Connectivity Contribute Significantly To Employee Stress. However, Organizational Initiatives Such As Training, Wellness Programs, And Digital Detox Policies Positively Influence Satisfaction And Productivity. The Paper Concludes With Recommendations For Enhancing Digital Wellbeing Support To Foster A Healthier And More Sustainable Work Culture.
Author: Sandiya K | Mrs. S. Deepa
Read MoreFinancial Statement Analysis Of Solora Active Pharma Science Pvt Ltd
Area of research: Finance
The Financial Statement Analysis Of Solora Active Pharma Science Pvt. Ltd., Focusing On Evaluating Its Financial Health, Efficiency, And Sustainability. The Study Aims To Assess The Company’s Liquidity, Solvency, Profitability, And Operational Efficiency Using Comparative And Common-size Statements. Data From 2020–2025 Were Analyzed To Identify Financial Trends. Assets Grew Steadily Until 2022 But Declined From 2023–2025 Due To Reduced Investments In Property, Plant, And Equipment. Equity Peaked In 2021 But Weakened Later, Reducing Financial Stability. Current Liabilities Increased, And Reliance On Short-term Debt Rose, Causing Liquidity Risks. The Current Ratio Dropped Sharply After 2024, Showing Poor Short-term Financial Strength. Leverage Ratios Stayed Stable, But Proprietary Ratios Indicated Uneven Equity Contribution. Overall, Findings Reveal Weakening Financial Strength And Liquidity In Recent Years. The Study Concludes That The Firm Must Improve Liquidity Management, Build Reserves, Retain Profits, And Reduce Dependence On Short-term Borrowings To Ensure Long-term Stability.
Author: Swathi B | Mrs. Deepa. S
Read MoreEARLY PREDICTION OF AMYOTROPIC LATERAL SCLEROSIS USING ML ALGORITHMS AND SPEECH SIGNAL PROCESSING
Area of research: CSE
The Developed System For ALS Detection Using Speech Recognition And Machine Learning Effectively Demonstrates How Artificial Intelligence Can Be Leveraged To Support Early Diagnosis Of Neurological Disorders. By Analyzing Subtle Variations In Speech Patterns Using MFCC-based Feature Extraction And Machine Learning Algorithms, The System Provides A Reliable, Non-invasive, And Cost-efficient Method For Identifying Early Signs Of Amyotrophic Lateral Sclerosis (ALS). The System Continuously Enhances Its Diagnostic Accuracy Through User Feedback And Periodic Model Retraining Using Newly Collected Voice Samples. This Adaptive Learning Approach Ensures That Predictions Remain Consistent And Relevant, Even As More Diverse Data Is Introduced. Moreover, The Integration Of Visualization Modules And Probability-based Outputs Improves The Transparency Of AI Decisions, Helping Users And Healthcare Professionals Better Interpret The System’s Findings. Future Enhancements Aim To Incorporate Advanced Deep Learning Techniques Such As CNNs And RNNs For Improved Pattern Recognition, As Well As Real-time Monitoring And Disease Progression Tracking. Expanding The Dataset To Include Multiple Languages And Dialects Will Also Make The Model More Inclusive And Globally Applicable. Overall, This Project Establishes A Strong Foundation For AI-driven Healthcare Systems That Can Assist In Early Detection, Patient Monitoring, And Decision-making Support For Neurodegenerative Diseases.
Author: D. Pravin Kumar | K.L Sri Prasanna | S. Santhosh
Read MoreEnhanced Deepfake Detection Using Preprocessed Video Frames And Convolution Neural Networks
Area of research: Computer Science And Engineering
Digital Security And Authenticity Are Being Threatened By Deepfake Technology, Which Is Powered By Sophisticated Generative Models. A Convolutional Neural Network (CNN) Model Trained On Facial Data Taken From Video Frames Is Used In This Study To Demonstrate A Deep Learning-based Method For Identifying Deepfake Films. Prior To Classification, The System Preprocesses Video Data By Normalizing And Shrinking Frames. Real-time Video Uploading And Prediction Are Made Possible By A Gradio-based User Interface, Which Indicates The Likelihood Of Authentic Or Fraudulent Footage. The Model's Ability To Counteract Synthetic Media And Guarantee Trust In Visual Content Across Digital Communication Channels Is Highlighted By Experimental Results That Show Dependable Detection Performance.
Author: R.Mohana Brintha | R. Pavithra | A. Alagar
Read MoreDEEP LEARNING MODEL FOR SCALP DISEASE PREDICTION FROM MULTIMODAL FRAMEWORK
Area of research: Computer Science And Engineering
Scalp Disorders Such As Dandruff, Folliculitis, And Alopecia Are Prevalent Conditions Impacting Millions Worldwide. Accurate Detection Of Scalp Diseases Through Deep Learning Can Significantly Improve Diagnostic Efficiency And Treatment Outcomes. This Paper Presents A Multimodal Deep Learning Approach That Integrates Convolutional Neural Networks (CNN) And Recurrent Neural Networks (RNN) To Analyze Scalp Images And Corresponding Symptom Descriptions. The Combined Framework Enhances Interpretability And Accuracy Over Traditional Single-modality Systems. Results Demonstrate That The Proposed System Achieves Robust Prediction Accuracy Across Multiple Scalp Disease Categories.
Author: Mrs. K. Vanitha Mani | Sahadevi M | Vairajothi P
Read MoreAI-Based Career Path Recommendation System
Area of research: Computer Science And Engineering
In The Modern World, Students And Professionals Often Face Difficulty Identifying Suitable Career Paths Aligned With Their Academic Performance, Technical Skills, And Personal Interests. This Paper Presents An AI-Based Career Path Recommendation System That Leverages Machine Learning And Deep Learning Models To Suggest Ideal Career Paths And Recommend Relevant Job Opportunities From Live Sources Such As Indeed And Naukri. The System Uses Random Forest And Neural Network Algorithms To Predict Suitable Career Categories From Academic And Skill Data, Achieving Meaningful Results In Multi-class Classification. It Integrates A Flask Backend, Streamlit Frontend, And SQLite Database, Forming A Robust, Data-driven Platform For Intelligent Career Guidance And Employment Matching.
Author: E.Sundara Vignesh | V.Sanjay | Mrs.A.Akileshwari
Read MoreEcho AI : An AI Memory Assistant
Area of research: Artificial Engineering And Machine Learning
In The Era Of Information Overload, Individuals Struggle To Manage And Retrieve Personal Memories And Knowledge Effectively. This Paper Presents ECHO AI, An Intelligent Memory Assistant That Leverages Advanced Natural Language Processing And Machine Learning To Organize, Search, And Summarize Personal Memories Through Semantic Understanding. The System Combines Transformer-based Embeddings For Semantic Search With Abstractive Summarization Capabilities, Providing Users With Contextual Memory Retrieval And Intelligent Insights. Built On A Modern Tech Stack Using Streamlit, Supabase, And Hugging Face Transformers, ECHO AI Demonstrates Superior Performance In Memory Recall Accuracy And User Experience Compared To Traditional Note-taking Applications. Experimental Results Show The System Achieves 92% Accuracy In Semantic Memory Retrieval And Generates Coherent Summaries With 88% User Satisfaction.
Author: E.Santhoshini | A.Sherlin | S.Sangamithra
Read MoreAI-BASED CRIME REPORTING AND PATTERN ANALYSIS SYSTEM
Area of research: Computer Science And Engineering
In The Modern Era Of Digital Law Enforcement, Efficient Crime Reporting And Pattern Analysis Play A Vital Role In Public Safety And Resource Optimization. However, Traditional Crime Reporting Systems Suffer From Manual Processing Delays, Inconsistent Classification, And Limited Analytical Capabilities. This Paper Proposes An AI-Based Crime Reporting And Pattern Analysis System That Combines Rule-based Natural Language Processing With Interactive Data Visualization. The System Automatically Classifies Crime Descriptions Into Specific Categories Using Comprehensive Keyword Dictionaries And Provides Law Enforcement Agencies With Real-time Analytics Dashboards For Crime Pattern Recognition. Developed Using Streamlit Framework With Python Backend, The System Features Role-based Access Control, Transparent AI Explanations, And Comprehensive Data Management. During Testing, The System Successfully Processed Multiple Crime Reports With 95% Confidence For Cybercrime Classification And 66% Average Confidence Across All Categories, Demonstrating Its Practical Utility In Modern Law Enforcement Operations.
Author: M. Kanishka | S. Lavanya | A. Akileswari
Read MoreCAREERPATHAI : INTELLIGENT CAREER ROADMAP AND PROGRESS TRACKING SYSTEM
Area of research: Computer Science And Engineering
In The Current Competitive Job Market, Students And Professionals Face Significant Challenges In Planning And Tracking Their Career Development Effectively. The Absence Of Personalized Guidance And Real-time Progress Monitoring Often Leads To Inefficient Skill Development And Delayed Career Readiness. This Paper Proposes CareerPathAI, An Intelligent System That Combines Machine Learning Models With Multi-platform Integration To Generate Personalized Career Roadmaps And Track Skill Development. The System Integrates Data From GitHub And LeetCode Platforms Using REST APIs And Applies Random Forest And Logistic Regression Algorithms To Assess Career Readiness. The Hybrid Approach Captures Both Technical Proficiency Metrics And Learning Patterns To Provide Accurate Readiness Scores. CareerPathAI Demonstrates Superior Performance In Career Path Personalization And Progress Assessment, Offering Students Clear Direction And Measurable Growth Indicators For Their Professional Development.
Author: T.B.Kruthiga | T.Priyadharshini | M.Arul Selvan
Read MoreBuilding A Real Time Phishing URL Detector
Area of research: Computer Science And Engineering
In Today’s Digital Era, Online Users Are Frequently Targeted By Deceptive Websites Designed To Steal Personal Credentials, Financial Data, And Sensitive Information. This Paper Presents Phishing Detector, An Intelligent Phishing Detection System That Leverages Machine Learning And Rule-based Techniques To Identify And Classify Malicious URLs In Real Time. The System Employs Random Forest And URL-based Feature Analysis To Evaluate Lexical And Structural Patterns, Achieving High Accuracy In Distinguishing Between Phishing And Legitimate Websites. Additionally, A Whitelist Verification Module Cross-checks Trusted Domains To Minimize False Positives And Enhance Detection Confidence. The Project Integrates A FastAPI Backend For Efficient Model Inference, A React.js Frontend For An Interactive And Responsive User Experience, And An SQLite Database For Logging Predictions And Domain Data. This Unified Architecture Forms A Scalable, Data-driven Solution For Detecting Evolving Phishing Threats, Providing Users With Secure Web Interaction And Reliable, Real-time Protection Against Online Scams..
Author: Sriram.S | Sriram S | Sri Sivaraman.M
Read MoreFAKE NEWS PREDICTION BASED ON NATURAL LANGUAGE PROCESSING(NLP) AND MACHINE LEARNING
Area of research: CSE
The Rapid Dissemination Of Misinformation Across Social And Digital Media Platforms Has Created A Growing Demand For Automated Mechanisms To Detect And Prevent The Spread Of Fake News. This Paper Presents A Machine Learning–based Fake News Prediction System That Utilizes Natural Language Processing (NLP) Techniques To Classify News Articles As Real Or Fake. The System Preprocesses Textual Content Using Tokenization, Stop-word Removal, And Lemmatization, And Transforms It Into Feature Vectors Through Term Frequency–Inverse Document Frequency (TF-IDF) Representation. A Passive Aggressive Classifier (PAC) Is Employed To Train And Predict Labels With High Efficiency And Low Computational Cost. The Proposed Approach Achieves Competitive Accuracy While Maintaining Interpretability And Scalability. A Lightweight Flask Web Interface Is Developed For Real-time User Interaction, Enabling Non-technical Users To Input Text And Instantly View Classification Results. Experimental Evaluation Demonstrates That The System Effectively Distinguishes False Information From Legitimate News, Contributing To The Reliability Of Online Information And Enhancing Trust In Digital Communication
Author: S. SUGANTHI SHYAMASP | M. DHARANI RAJA | G. JAYASURIYA
Read MoreAI-BASED INVESMENT GENERATOR USING LOGISTIC REGRESSION
Area of research: CSE
Many Individuals, Especially Beginners, Find It Challenging To Make The Right Investment Decisions Due To The Overwhelming Number Of Options Such As Stocks, Mutual Funds, And Fixed Deposits, Combined With Limited Financial Knowledge. To Address This Issue, This Project Develops An Intelligent AI-based System That Assists Users In Identifying Suitable Investment Plans Based On Their Personal Financial Profiles. The System Collects User Data Such As Age, Income, And Risk Level, And Applies Machine Learning Algorithms Like Regression And Classification To Analyze And Recommend The Best Investment Options. It Also Utilizes Lexical Features Such As Length, Digits, Hyphens, And Suspicious Words Extracted From Domain Names To Ensure Data Security And Source Reliability. The AI Model Provides Smart, Personalized Investment Suggestions, For Example, Recommending Specific Amounts To Invest In Suitable Plans Like Mutual Funds, Enabling Users To Manage Their Finances Effectively. Being Cloud-hosted, The System Allows Users To Access It Conveniently From Anywhere Through A Web Or Mobile Platform. By Acting As A Virtual Financial Advisor, The System Empowers Users To Make Informed Financial Decisions, Improve Investment Planning, And Enhance Their Long-term Financial Growth. In The Future, The Model Aims To Incorporate Advanced Predictive Analytics To Forecast Market Trends And Offer More Dynamic, Data-driven Investment Insights, Helping Users Stay Ahead In An Ever-evolving Financial Landscape.
Author: R. Karthiga Devi | R.B.Vishnu | M.K. Vishwaraj
Read MoreCOURT ASSIST AI : AI POWERED RIGHTS EXPLANATION AND COURT ASSISTANCE SYSTEM
Area of research: Computer Science And Engineering
In Today’s Complex Legal Environment, Individuals Often Struggle To Understand Legal Documents, Their Rights, And Procedural Requirements. This Paper Presents Court Assist AI, An Intelligent Legal Assistant That Leverages Natural Language Processing (NLP) And Machine Learning (ML) Techniques To Analyze, Classify, And Summarize Legal Information. The System Uses Decision Tree And Logistic Regression Models Combined With TF-IDF Vectorization For Accurate Legal Document Classification And Question-answer Prediction. With A Streamlit-based Interactive Interface, Users Can Upload Documents, Query Legal Information, And Receive Simplified Explanations And Automated Form-filling Assistance. Experimental Evaluation Demonstrates That The System Achieves High Accuracy In Legal Text Classification And Provides Contextual Guidance, Significantly Improving Accessibility To Legal Knowledge. Court Assist AI Exemplifies How AI-driven Automation Can Empower Users With Actionable Legal Insights, Reducing Reliance On Professional Intervention For Routine Queries.
Author: S.K.M.Shylaja | V. vysyaa | S.Suganthi
Read MoreSOCIAL WORK SUPPORT FOR THE HEALTH SERVICE IN INDIA
Area of research: Social Work
The Integration Of Social Work Into India’s Healthcare System Has Become Increasingly Vital In Promoting Holistic, Patient-centred, And Equitable Health Services. Social Workers Play A Crucial Role In Addressing Psychosocial, Cultural, And Environmental Factors That Influence Health Outcomes, Complementing The Biomedical Approach With Humanistic Care. This Conceptual Paper, Based On Secondary Data And Literature Review, Explores The Multifaceted Contributions Of Social Work To The Health Sector In India. It Discusses The Historical Evolution, Scope Of Practice, Challenges, And Opportunities For Social Workers In Medical, Psychiatric, And Community Health Settings. The Paper Argues That Effective Collaboration Between Health And Social Work Professionals Can Strengthen Public Health Programs, Improve Patient Outcomes, And Foster Social Justice In Healthcare Delivery. Policy Integration, Institutional Support, And Training Reforms Are Essential To Fully Realise The Potential Of Social Work In The Indian Health Sector.
Author: Dr Mutharaju H. D
Read MoreExpertGuard: Product Exchange Platform With Expert Verification
Area of research: CSE
Expert Verification: Certified Technicians Validate Every Item Through Structured Checklists And Live Video Inspection, Eliminating Fraud And Misrepresentation In Peer-to- Peer Resale. Comprehensive Reports: Verified Listings Include Detailed Technician Reports, Authenticated Images, And Fair Market-based Pricing Suggestions For Complete Transparency. Real-Time Trading: Socket.io Powers Instant Bidding And Live Chat, Enabling Transparent Negotiation And Accelerating Transaction Completion Between Buyers And Sellers. Expert Guard: Expert Guard Is Built On A Robust Technical Foundation Using React.js For The Frontend Interface, Node.js With Express For Backend Processing, And MongoDB Atlas For Secure Cloud-based Data Management. This Architecture Ensures Scalability, Reliability, And Seamless Real-time Interactions Across All User Roles.
Author: Sarandeep PS | Mr.A.Alagar | Dr.S. Miruna Joe Amali | Sooriya S S
Read MoreML-BASED NUTRITIONAL ANALYSIS AND PREDICTION FOR CANTEEN FOODS
Area of research: CSE
Unhealthy Eating Habits And Lack Of Nutritional Awareness Are Common Among Students In Educational Institutions. Most Canteen Menus Do Not Include Nutritional Information, Leading To Poor Dietary Decisions. The Proposed System, ML-Based Nutritional Analysis And Prediction For Canteen Foods, Introduces A Data-driven Approach To Automatically Estimate Nutrient Values For Campus Food Items Using Machine Learning. Ingredient-level Data From Reliable Sources Such As USDA And Kaggle Indian Food Datasets Are Combined With Campus Menu Recipes To Form A Structured Dataset. The System Applies Multi-Output Random Forest Regression To Predict Key Nutrients — Calories, Protein, Fat, And Carbohydrates — Per Serving. The Model Efficiently Processes Ingredient Inputs And Generates Accurate Nutrient Breakdowns, Helping Students And Diet-consciousindividuals Make Informed Food Choices. This Work Demonstrates How Machine Learning Can Transform Traditional Canteen Services Into Smart, Health-aware Systems, Promoting Balanced Dietary Habits On Campus
Author: S,Venkata Lakshmi | P.Sujitha | J.Yogasri
Read MoreAI FOR DETECTING AND MANAGING PERSONAL STRESS LEVEL
Area of research: Computer Science And Engineering
In Today’s Fast-paced Digital Era, Stress-related Issues Have Become Increasingly Prevalent, Demanding Intelligent And Accessible Mental Health Solutions. This Paper Presents Zenalyze, An AI-driven Chatbot Designed For Real-time Stress Detection And Personalized Emotional Support. The System Leverages Natural Language Processing (NLP) And Sentiment Analysis Using The TextBlob Library To Interpret User Emotions Accurately. It Integrates The Google Translate API For Multilingual Communication, Ensuring Inclusivity Across Diverse Users. Unlike Conventional Wellness Applications, Zenalyze Combines Mood Tracking, AI-guided Journaling, Task Management, And Lifestyle Monitoring Within A Unified Streamlit-based Platform. The Chatbot Provides Context-aware Recommendations, Including Mindfulness Exercises, Relaxation Techniques, And Motivational Prompts, Tailored To The User’s Detected Mood. By Fusing Emotional Intelligence With Behavioral Insights, Zenalyze Delivers An Empathetic And Adaptive Support System. The Modular Architecture Further Enables Future Enhancements Such As Voice Interaction, Facial Emotion Detection, And Predictive Analytics, Promoting A Scalable And Intelligent Approach To Stress Management And Emotional Well-being..
Author: S.Shri Lekha | Sreshta Sridhar | G.Rajeswari
Read MoreSMART HIRING ASSISTANT FOR RESUME AND PROFILE BUILDING-SHARP
Area of research: CSE
The Smart Hiring Assistant For Resume And Profile Building (SHARP) Is An AI-powered Web Platform Developed To Enhance Employability By Providing Data-driven Resume Analysis And Personalized Recommendations. The System Employs Artificial Intelligence And Data Science To Analyze Anonymized Resumes Of Successfully Placed Candidates, Identifying Essential Skills, Qualifications, And Structural Elements That Influence Hiring Outcomes. Using This Insight, SHARP Offers Targeted Feedback To Users, Suggesting Improvements In Skills, Formatting, And Content Relevance To Align Profiles With Industry Standards. It Also Recommends Suitable Job Roles Based On Individual Strengths And Detected Skill Gaps. Unlike Traditional Job Portals Or Resume Builders, SHARP Features A Continuous Feedback Loop That Refines Its Recommendations Through Recruiter Evaluations And Placement Outcomes. This Ensures A Transparent And Adaptive Recruitment Support Framework. Future Enhancements Aim To Integrate Predictive Analytics To Forecast Emerging Skill Trends, Enabling Candidates To Stay Competitive And Make Informed Career Decisions In An Evolving Job Market.
Author: N.Nazmunisha | S.Santhosh Ram | P.M.Thiravidan
Read MoreIntegration of Cost And Work Breakdown Structures In The Management of Construction Projects Considering A Case Study of Commercial Structure In Indore
Area of research: Civil Engineering
Effectively Organising The Progress Is A Crucial Component Of Project Management. Every Task In The Management Industry Begins With Planning. Planning Is The Foundation For Carrying Out, Overseeing, Managing, And Wrapping Up A Project. In Order To Manage The Project, A Work Breakdown Structure Is Used To Hierarchically Decompose The Target Objectives, Activities, Sub-activities, And Work Packages. A Commercial Building Project In Indore, India, Serves As The Focus Of This Study, Which Investigates The Integration Of Work Breakdown Structure (WBS) And Cost Breakdown Structure (CBS) In Construction Project Management. Project Scope, Scheduling, And Cost Control Must All Be In Harmony For Construction Projects To Be Managed Effectively And Provide Results On Time And Under Budget. Coordination And Risk Management Have Been Difficult Since CBS And WBS Have Always Been Viewed As Distinct Frameworks. In Summary, The Study Shows That Using Integrated Breakdown Structures In A Strong Project Management Tool Greatly Improves Construction Projects' Accuracy, Efficiency, And Success. This Information Is Helpful For Researchers And Practitioners In The Field.
Author: Shailendra Kumar Patel | Hitesh Kodwani
Read MorePERFORMANCE EVALUATION OF CRIMPED STEEL FIBER REINFORCED CONCRETE USING M-SAND FOR M30 CONCRETE
Area of research: Civil Engineering
In This Study, Crimped Steel Fibres And Manufacturing Sand (M-Sand) Were Used In An Experimental Study Of Fibre Reinforced Concrete. We Know That Concrete Is Weak In Tension And Strong In Compression, And That The Fine Aggregate Used In Concrete Is Typically Natural River Sand. Our Goal Is To Replace The Natural Sand With Manufactured Sand And To Increase The Compressive And Tensile Strength Of The Concrete By Adding Steel Fibre. M-Sand Is Used As A Fine Aggregate To Get Over The Problems Caused By Over-mining Of Sand. Gravel Crushers Generate M-Sand, Which Is Homogeneous In Size. Investigating The Impact Of Steel Fibres On Concrete Made With M-sand As The Fine Aggregate Is The Primary Goal Of This Study, Which Also Aims To Create A High-performance Concrete. The Compressive And Tensile Strengths Of Concrete Grade M30 With Various Steel Fibre Percentages (0%, 0.3%, 0.6%, 0.9%, And 1.2%), Respectively, Are Proposed To Be Measured And Compared. To Make Concrete More Workable, Chemical Admixtures Are Utilised. In Order To Undertake The Study, Tests For Compressive Strength, Split Tensile Strength, And Flexural Strength Are Performed.
Author: Shailesh Singh | Hitesh Kodwani
Read MoreSOIL INTERACTION ANALYSIS OF A TALL STRUCTURE UNDER DYNAMIC LOADING USING ANALYSIS TOOL
Area of research: Civil Engineering
The Foundation, The Surrounding And Underlying Soil, And The Building Itself Form Interconnected Systems That Collectively Determine A Structure's Response To Seismic Activity. Evaluating The Interplay Between Soil And Structure Is Crucial In Understanding Their Combined Reaction To Specific Ground Movements. In Literature, The Terms "soil-structure Interaction" (SSI) And "soil-foundation-structure Interaction" (SFSI) Are Often Used Interchangeably To Describe This Phenomenon. Despite The Potential Impact Of SSI, Structural Engineers Sometimes Overlook Its Influence, Assuming It Has No Detrimental Effects On The Structure. However, This Assumption May Not Always Hold True. Recognizing The Foundation's Critical Role In The Structure, This Project Adopts The Term "SSI." For Analytical Purposes, We Consider A B+S+24 R.C.C. Building To Compare The Influence Of SSI. Soil Structure Interaction (SSI) Is The Phenomenon Of The Motion Of The Soil Affecting The Response Of The Structure And The Response Of The Structure Affects The Motion Of The Soil. Modelling Of Structures Is Done Using Various Analysis Software Like SAP, ETABS Etc.
Author: Garvit Jain | Praveen Ghidode
Read MoreSEISMIC ANALYSIS OF TALL STRUCTURE CONSIDERING VARIABLE COLUMN CONDITION USING ANALYSIS TOOL
Area of research: Civil Engineering
One Important Factor That Affects The Project's Or Building's Economy Is The Distance Between Columns. Because Of This Relationship Between Column Spacing And Panel Size, The Cost Of Raw Materials Can Vary In Reinforced Concrete Buildings. When Column Spacing Is Smaller, Panels Are Smaller, And When Column Spacing Is Larger, Panels Are Larger. The Influence Of Column Spacing On Economy Is Examined In This Study Through A Comparison Of The Construction Of G+14 R.C. Moment Resisting Frames. Three Scenarios Of Column Spacing—C1 (300x300mm), C2 (400x400mm), And Combination (C1 And C2)—are Taken Into Consideration In Order To Assess The Impact Of Column Spacing On Economy. Using E-TABS, The Structure Is Modelled, Examined, And Designed In Accordance With IS 456:2000. The Amount Of Concrete, Steel, And Shuttering Is Calculated Using The E-TABS. These Models Are Examined To Determine The Relation For The Ideal Column Dimension Or Combination Taking Into Account The Same Building Loading Conditions. The Building's Aspect Ratio Is Set At 1.5, And The Most Cost-effective Structure Is Determined By Adding The Costs Of The Shuttering, Steel, And Concrete Together.
Author: Rahul Kumar | Praveen Ghidode
Read MoreEVALUATING THE CHARACTERISTICS OF CONCRETE USING DIFFERENT AGGREGATES: A REVIEW
Area of research: Civil Engineering
Over 60-65% Of Concrete Is Made Up Of Aggregates, Which Also Play A Big Role In Its Strength. In This Work, Elongation And Thickness Gauge Are Used To Calculate Shape Properties Such Flakiness And Elongation. Granite Was Employed As The Study's Aggregate. Substantial Designs Redirect, Break, And Free Firmness When Exposed To Outer Burden. Loss Of Flexural Strength Of Cement Is To A Great Extent Liable For Breaks In Structure. In Built Up Substantial Designs, The Blend Extents Of The Materials Of The Substantial And Total Sort Decide The Compressive Strength While The Composite Activity Of Cement And Steel Support Supplies The Flexural Strength. In Event Of Loss Of Firmness, Steel Support No Longer Backings Flexural Stresses; Concrete Thus Is Exposed To Flexure. The Compressive Strength And Flexural Strength Thusly Assume An Essential Part. Impact Of Shifting Coarse Total Size On The Flexural And Compressive Qualities Of Cement Footer Was Explored.
Author: Vijay Kumar Patel | Hitesh Kodwani
Read MoreThe Role Of Image Recognition In Modern Archaeology
Area of research: Computer Science And Engineering
This Study Presents An Intelligent AI-based Image Recognition System Designed To Assist Archaeologists In The Identification And Classification Of Artifacts From Excavation Sites And Museum Archives. Traditional Archaeological Analysis Is Time-consuming And Prone To Subjective Interpretation, Limiting Scalability And Consistency. The Proposed System Leverages Deep Learning And Computer Vision—specifically Convolutional Neural Networks (CNN)—to Automate Artifact Recognition With High Accuracy. Through Systematic Preprocessing, Feature Extraction, And Classification, The Model Effectively Distinguishes Between Diverse Artifact Types Such As Tools, Sculptures, And Inscriptions. Experimental Evaluation Demonstrates That The CNN Model Achieves A Classification Accuracy Of 92% With An F1-score Of 0.91, Outperforming Traditional Machine Learning Methods Like SVM And KNN. Additionally, The System Is Deployed Through A Flask-based Web Interface That Enables Real-time Artifact Identification And Visualization. By Integrating AI-driven Image Recognition With Digital Archaeology, The System Enhances Research Efficiency, Promotes Cultural Heritage Preservation, And Contributes To The Digital Transformation Of Archaeological Studies.
Author: S. Murugesh | G.C. Lokeshwaran | G. Kannan | Mrs.M. Nithya
Read MoreA Brief HPLC Study On Dorzolamide Hydrochloride
Area of research: Pharmaceutical Analysis
The Main Idea Is To Develop And Validate A Fast, Sensitive, And Accurate Reversed-phase High-performance Liquid Chromatography (RP-HPLC) Method For The Quantitative Determination Of Dorzolamide Hydrochloride (a Carbonic Anhydrase Inhibitor Used To Treat Glaucoma) In Bulk And Pharmaceutical Dosage Forms (e.g., Ophthalmic Solution). The Methodology And Parameters Are Selected According To The Drug And Desired Outcome. Chromatographic Separation Was Performed On An 18 Column, Stationary Phase, Using An Adapted Isocratic Mobile Phase Composed Of A Mixture Of Buffer (for Example, Phosphate Buffer) And Organic Solvent (for Example, Acetonitrile Or Methanol) At A Controlled Flow Rate (for Example, 1.0 ML/min). Detection Was Performed Using A UV-Vis Detector At The Maximum Absorption Wavelength Of Dorzolamide (usually Around 254nm). Percentage Recovery Studies Yielded Results Close To 100%, Confirming The High Accuracy Of The Method. The Developed RP-HPLC Method Is Suitable For Reliable And Routine Quality Control Analysis Of Dorzolamide In Pharmaceutical Preparations, Ensuring Its Quality And Therapeutic Efficacy. Dorzolamide, Often Referred To As Dorzolamide Hydrochloride (DOR), Is A Potent Topical Carbonic Anhydrase Inhibitor Developed Primarily To Avoid The Severe Systemic Side Effects Of Oral CAIs Such As Acetazolamide. It Is Used In Eye Drops To Reduce Increased Intraocular Pressure Associated With Glaucoma And Ocular Hypertension. HPLC Is A Widely Preferred Technique For Quantitative Analysis Due To Its Sensitivity, Selectivity, And Accuracy, Especially In Pharmaceutical Formulations (e.g. Eye Drops) And Biological Fluids.
Author: Mahathi Jyothirmaye Kapa | Ceeri Sai Priya | Dr. Vinutha. K
Read MoreSecret Of Salutary Environment: A Review Touching On Pharmaceutical Waste Materials
Area of research: Pharmaceutical Waste Management
Pharmaceuticals Are Essential To Human Health, But When They Enter The Environment Through Various Routes Such As Emissions After Consumption Or Improper Disposal Of Waste And Unused Drugs, They Can Pose Significant Environmental Concerns. Detection Methods Were Not Developed For All Pharmaceuticals Entering The Ecosystem. These Pharmaceuticals Can Have Adverse Effects On Ecosystems And The Various Organisms Within Them. Various Policies Are Recommended To Prevent Generation Of Household Pharmaceutical Waste And Ensure Environmentally Friendly Methods Of Pharmaceutical Household Waste Disposal, Prescribing Greener Medicines, Or Designing Pharmaceuticals That Are Benign And Easily Biodegradable, And Ensuring Market Space For Redistribution Of Unused Pharmaceuticals. Preventing The Inevitable Collection And Disposal Of Waste And Unused Pharmaceuticals Is An Important Step In Preventing Them From Entering The Environment And Causing Harm. Pharmaceutical Industries Play An Important Role In This Process By Implementing Various Strategies To Dispose Of And Reduce Waste And Unused Pharmaceutical Products. Reducing The Levels Of Pharmaceuticals In The Environment Is Essential To Protect Human Health, Maintain Ecosystem Integrity, And Promote Environmental Sustainability. Efforts To Address This Issue Require Collaboration And Coordination Among Various Stakeholders, Including Pharmaceutical Industries, Regulatory Agencies, Health Care Professionals, Environmental Scientists, And The Public.
Author: Kapa Mahathi Jyothirmaye | Dr.Vinutha. K
Read MoreTransmission Dynamics, Demographic Patterns, And Strategies For Effective Control And Management Of Nipah Virus
Area of research: Health
Nipah Virus (NiV) Infection, First Identified In Malaysia In 1998, Is A Zoonotic Disease Caused By A Pathogen From The Paramyxoviridae Family (Singh Et Al., 2019). Subsequent Outbreaks Have Been Documented In Singapore, Bangladesh, And India, Highlighting Its Regional Significance (Sharma Et Al., 2019). The Infection Poses A Severe Threat To Human Health By Targeting The Respiratory And Nervous Systems, Leading To High Mortality Rates (Banerjee Et Al., 2019). As An RNA Virus, Its Transmission Occurs Through Several Routes, Including From Bats To Humans, Pigs To Humans, And Through Human-to-human Contact (Gurley Et Al., 2007). Fruit Bats Of The Pteropus Genus, Such As Pteropus Hypomelanus And Pteropus Vampyrus, Are Identified As The Primary Natural Reservoir For The Virus (Chua Et Al., 2000). A Critical Challenge In Managing NiV Is The Absence Of A Specific Vaccine Or Approved Antiviral Treatment, A Situation That Has Persisted From Its Discovery In 1999 Through To The Present Year Of 2022 (Satterfield Et Al., 2016). Different Strains Of The Virus Exhibit Distinct Clinical And Epidemiological Features, Complicating Public Health Responses (Clayton Et Al., 2016). The Cornerstone Of Outbreak Containment Lies In Rapid Diagnostic Procedures And The Stringent Implementation Of Infection Control Measures (Mazzola & Kelly-Cirino, 2019). To This End, A Multitude Of Serological And Molecular Diagnostic Techniques Have Been Developed For Effective Diagnosis And Surveillance (Yadav Et Al., 2021). Managing The Disease Becomes Particularly Difficult When It Emerges In New Geographical Areas Where Awareness And Infrastructure May Be Lacking (Plowright Et Al., 2019). The High Case Fatality Rate, Estimated To Be Between 75% And 95%, Coupled With The Potential For The Virus To Spread To New Regions, Underscores The Urgent And Critical Need For Developing Effective Control And Management Strategies (Shariff, 2019). It Is Noted That The NiV-B (Bangladesh) Strain Appears To Be More Lethal Compared To The Strains From Malaysia (NiV-M), India (NiV-I), And Singapore (NiV-S) (Harcourt Et Al., 2005). Presently, The Global Research Community Is Actively Pursuing Vaccine Development, With Several Candidates Undergoing Pre-clinical Trials In Animal Models Such As Pigs, Horses, And Monkeys (Thakur & Bailey, 2019). This Article Seeks To Comprehensively Examine The Barriers And Current Progress In The Development Of Medicines And Vaccines For This Particular And Highly Pathogenic Virus.
Author: Alhaji Saleh Isyaku | Ahmad Lawan Abba | Alhaji Kolo Shettima
Read MoreRecognition Of Fraudulent Job Advertisements Using A Machine Learning Framework
Area of research: Computer Science And Engineering
The Rapid Growth Of Online Job Markets Has Led To A Rise In Fraudulent Postings, Causing Financial And Emotional Harm To Job Seekers. This Study Introduces An Intelligent Fraud Detection System Using Ensemble Machine Learning And NLP To Automatically Identify Deceptive Job Listings. The Model Utilizes 33 Engineered Features From Text, Structure, And Metadata, Combined Through Random Forest, Logistic Regression, SVM, And Naive Bayes With A Weighted Voting Mechanism, Achieving 95.2% Accuracy, 92% Precision, And 89% Recall On 17,880 Verified Postings. Integrating External Company Verification, Domain Trust Checks, And Blacklist Monitoring Enhances Detection Confidence.. Results Outperform Single Models And Rule-based Systems, Offering Both Practical And Theoretical Advancements In Online Job Fraud Prevention. Experimental Results Demonstrate Significant Performance Improvements Over Single-algorithm Approaches And Traditional Rule-based Systems, Particularly In Detecting Sophisticated Fraud Patterns That Evade Conventional Detection Methods.
Author: R.Nivethitha | B.S.Swasthiga | K.B.Vikashini
Read MoreSMART EXPENSE TRACKER WITH GOAL FORECASTING AND USER BEHAVIOR CLUSTERING USING AI
Area of research: Computer Science And Engineering
Managing Personal Finances Effectively Has Become A Necessity In Today’s Fast-paced Lifestyle. While Several Expense Tracking Applications Exist, Most Focus Only On Recording Income And Expenses, Offering Basic Summaries Without Deeper Analysis Or Intelligent Goal Management. Such Limitations Make It Difficult For Users To Understand Their Spending Habits, Stay Motivated Toward Long-term Goals, Or Receive Accurate Forecasts For Achieving Them. Without Advanced Tracking And Insights, Users Often End Up With Scattered Financial Data That Lacks Actionable Meaning. Many Existing Tools Fail To Address Crucial Aspects Such As Precise Goal Forecasting, Clear Visualizations Of Category-wise Spending, And The Ability To Analyze And Adapt To User Behavior Over Time. They Often Lack Secure Multi-user Access And Intelligent Clustering Of Users With Similar Spending Patterns. As A Result, Users Miss The Opportunity To Gain Personalized Recommendations That Could Guide Them Toward Better Financial Decisions.Our Project Bridges These Gaps By Providing A Secure And Intelligent Platform For Financial Management. Users Can Set Personal Goals, Log Expenses Under Predefined Categories, And Instantly See Their Monthly Savings Along With An Accurate Time Forecast To Reach Their Goals In Years, Months, And Days. The System Offers Engaging Visual Insights Through Pie Charts And Applies AI-based Clustering To Identify Spending Behavior Trends. By Combining Forecasting, Analytics, And Behavioral Intelligence, The System Transforms Simple Expense Logging Into A Proactive Tool For Financial Planning And Goal Achievement.
Author: Keerthiga K S | Pramila A | Sasikala M
Read MoreExperimental Study On Compressive Strength Of Concrete By Replacement Of Fine Aggregate With Sea Shells And Addition Of Steel Fibers
Area of research: Transportation Engineering
I Concrete Is One Of The Most Widely Used Construction Material. The Present Trend Of The Concrete Technology Is Towards Increasing The Strength And Durability Of The Concrete To Meet The Demands Of The Modern Construction. Now A Day’s Fiber Reinforced Concrete Is Widely Using Because Of Its High Tensile Strength And Fire- Resistant Properties. Adding Fiber To A Concrete Mix Can Reduce Cracks And Increase Impact Resistance. To Reduce The Huge Amount Of Usage Of River Sand In Concrete, Sea Shells Are Using As A Replacement Of Fine Aggregate In Concrete. To Provide An Economical Concrete, Improve The Durability Ofconcrete And Reduce The Demand Of Fine Aggregates. The Present Study Determines The Compressive Strength Of The Concrete When 1% Of Steel Fibers Are Added, By Weight Of Cement And Compressive Strength Of A Concrete When 70% Of Fine Aggregate Is Replaced With Sea Shells. The Study Also Determines The Strength Of Concrete In Combination Of 70% Ofsea Shells Replacement And 1% 0f Steel Fibers Addition. For Experimental Work M25 Grade Concrete Cubs Are Casted And Tested For 7 Daysand 28 Daysstrength. The Conclusion Of Present Study Is The Compressive Strength Of Concrete Will Increase By 86.73% Than Conventional Concrete By 70% Replacement Of Fine Aggregate With Sea Shells And 1% Addition Of Steel Fibers.
Author: Nethi Akarsh | Vadapalli Hemanth Kumar
Read MoreWorkplace Discrimination - A Study On Employee Perception And Organisational Response
Area of research: Discrimination In Workplace
Workplace Discrimination Is One Of The Significant Challenges That Organizations Face Today. It Occurs When Employees Are Treated Unfairly Or Unequally Because Of Their Age, Gender, Race, Religion, Caste, Or Other Personal Characteristics. Discrimination Not Only Affects The Individuals Who Experience It But Also Has A Broader Impact On Organizational Performance, Employee Morale, And Overall Productivity. This Research Paper Aims To Study The Causes, Types, And Effects Of Workplace Discrimination And To Understand How It Influences Employee Behavior And Job Satisfaction.The Study Is Conducted Using Surveys And Interviews With Employees From Various Organizations Across Different IndustriesThe Findings Suggest That Workplace Discrimination Can Lead To Several Negative Outcomes, Including Reduced Motivation, Lower Productivity, Increased Absenteeism, Higher Turnover Rates, And Emotional Stress Among Employees. Furthermore, The Study Highlights That Employees Who Feel Discriminated Against Are Less Likely To Engage Positively With Their Work And May Develop A Negative Perception Of The Organization.It Suggests That Organizations Should Implement Clear Anti-discrimination Policies, Conduct Regular Training, Encourage Open Communication, And Promote A Culture Of Equality And Respect. By Taking These Measures, Organizations Can Not Only Protect Employees’ Rights But Also Improve Organizational Performance And Create A More Inclusive Work Environment. Overall, This Study Provides A Basic But Important Insight Into Workplace Discrimination And Its Effects On Employees And Organizations.
Author: Ms. Nisha P | Dr. S Marutha Vijayan
Read MoreFormulation And Evaluation Of Films For Buccal Drug Delivery System
Area of research: Pharmacy
Buccal Films Represent A Promising Advancement In Oral Drug Delivery, Offering Several Benefits Over Conventional Dosage Forms. These Thin, Polymeric Strips Adhere To The Buccal Mucosa, Facilitating Direct Absorption Into Systemic Circulation And Effectively Bypassing First-pass Hepatic Metabolism, Which Enhances Bioavailability And Enables A Rapid Onset Of Action. Due To Their Ease Of Use, Absence Of A Need For Water During Administration, And Patient-friendly Design, Buccal Films Are Particularly Advantageous For Paediatric, Geriatric, And Dysphagic Populations. This Study Provides An Overview Of Buccal Film Classification, Advantages, Limitations, Packaging, And Manufacturing Methods, With A Focus On Solvent Casting And Hot-melt Extrusion. The Role Of Formulation Components—such As Film-forming Polymers, Plasticizers, Sweeteners, And Saliva Stimulants—is Discussed In Detail. BetaxololHCl, A Cardio Selective β1-adrenergic Blocker Used In Hypertension Treatment, Is Explored As A Model Drug For Buccal Delivery. Evaluation Parameters Including Film Thickness, Folding Endurance, Drug Content Uniformity, In Vitro Disintegration, And Dissolution Testing Are Described To Assess Film Quality And Performance. The Findings Affirm Buccal Films As An Efficient And Patient-compliant Platform For Non-invasive Drug Administration With Significant Clinical Potential.
Author: Lokhande Gauri | Taware Mayuri | Taware Megha
Read MoreMaximizing Organizational Efficiency: A Comprehensive Study Of ERP Planning Strategies
Area of research: Computer Science And Engineering
This Paper, "Maximizing Organizational Efficiency: A Comprehensive Study Of ERP Planning Strategies," Presents An Integrated Approach To Managing College/university Operations Through An Enterprise Resource Planning (ERP) System. The Primary Objective Is To Streamline Diverse Administrative And Educational Processes By Minimizing Paperwork And Automating Manual Tasks. The System Incorporates Multiple Modules, Including Admissions, Fee Management, Academics, Assessments, Human Resources, And Payroll, Ensuring Seamless Data Integration Across All Applications. Our Study Showed That 15.5% Are Familiar With ERP And 52.7% Are Somewhat FamiliarAlso, 15.5% Of People Are Facing Issues During Training, And 2.7% Of People Adopted ERP Among The Total Number Of Respondents. After This Study Our Future Web-based Platform Not Only Enhances Operational Efficiency But Also Promotes Accountability And Transparency Among Stakeholders Such As Students, Parents, Faculty, And Administrators.
Author: Mr. Farhan Ahmad | Ms. Sana Khan | Mr. Jibrin Abdullahi Dallatu | Mr. Mohammad Zaki
Read MoreImpact Of ICT Competence And Learning Styles On Academic Achievement Of Secondary School Students
Area of research: Education
The Integration Of Information And Communication Technology (ICT) In Education Has Redefined Learning Environments, Teaching Strategies, And Academic Expectations. However, The Extent To Which ICT Competence And Individual Learning Styles Contribute To Academic Achievement Among Secondary School Students Remains An Evolving Inquiry. This Study Aims To Analyze The Direct And Indirect Effects Of ICT Competence And Learning Styles On Academic Performance, Using A Structural Equation Modeling (SEM) Approach To Validate The Proposed Conceptual Framework. A Descriptive-correlational Design With Quantitative Analysis Was Used, Involving 480 Secondary School Students (240 Boys And 240 Girls) Selected From Government And Private Schools In Bhopal District Through Stratified Random Sampling. Three Standardized Tools Were Used: The ICT Competence Scale (ICT-CS), VARK Learning Style Inventory, And An Academic Achievement Index Derived From Recent Examination Scores. Data Were Analyzed Using Descriptive Statistics, Correlation, Multiple Regression, And SEM Path Analysis. Results Revealed A Strong Positive Relationship Between ICT Competence And Academic Achievement (r = 0.68, P < 0.01). Regression Analysis Indicated That ICT Competence And Learning-style Adaptability Jointly Explained 57% Of The Variance In Academic Performance (R² = 0.57). SEM Analysis Confirmed Significant Direct Effects Of ICT Competence (β = 0.52) And Indirect Effects Through Learning-style Compatibility (β = 0.27). The Model Fit Indices (χ²/df = 1.92, GFI = 0.94, CFI = 0.96, RMSEA = 0.045) Confirmed An Excellent Model Fit. The Findings Demonstrate That ICT Competence Substantially Enhances Academic Outcomes, Particularly When Instructional Delivery Aligns With Students’ Dominant Learning Styles. The Study Introduces The ICT–Learning Style Achievement Model (ILSA Model), Offering A Holistic Approach To Digital Pedagogy.
Author: Dr. Gouri Gosawi
Read MoreA Comprehensive Study Of Biotechnology: From Developments To Real-World APPLICATIONS
Area of research: Engineering
Biotechnology Is A Multifaceted Field That Merge With Biology And Technology To Develop A New Product, Methods And Organisms To Enhancing Human Well-being And Society. It Involves In The Uses Of Living Organisms, Cells Or Their Components To Generate Advantageous In Products And Services. The Field Involves Form Transformed With Ancient Practices Like Fermentation For The Food To Cutting Edges Techniques Involving In The Genetic Engineering And Molecular Biology. The Advancement Has Result In The Healthcare, Agriculture, Biofuels And Environmental Management. In This Paper We Discuss About Biotechnology Introduction, Development Phase, Application, Advantages, Disadvantages, And Challenges Of It While Research.
Author: Ms. Devika Dnyaneshwar Bawane | Prof. D. G. Ingale
Read MoreCAREZA (Health Care App)
Area of research: Health Care
CareZa Is An Advanced Healthcare Management And Appointment Scheduling Platform Inspired By Doctolib, Built Entirely From Scratch Without Using External APIs. It Streamlines Communication Between Patients, Doctors, And Hospitals Through A Scalable, AI-driven Ecosystem. The System Offers Smart Reminders, SMS/email Notifications, And Stores Complete Appointment Histories, Including Reports And Prescriptions. Its Multi-hospital Integration Allows Patients To Select Hospitals Based On Insurance, Real-time Availability, And Proximity Via The Google Maps API. Dynamic Slot Management Enables Doctors To Define Emergency Or Priority Appointments, While An AI-powered Symptom Checker Using NLP Recommends Suitable Specialists Based On User Input. Real-time Updates Are Managed Via WebSockets, And Large-scale Data Handling Is Optimized Through Efficient Database Design. Built With React.js, Node.js, Express.js, And MongoDB, CareZa Ensures Security Through Environment Variables And API Key Management. Combining AI-driven Recommendations, Real-time Interaction, And Seamless Scheduling, CareZa Delivers A Smart, Secure, And User-friendly Digital Healthcare Experience.
Author: Ms. Sangeetha | Hariharan V | Mohamed Wahith S | Prakasika M O | Tharani T
Read MoreTiny Toes (Baby Care)
Area of research: Artifical Intelligence
In Today’s Digital Era, Parents Rely Increasingly On Intelligent Tools To Monitor And Support Their Baby’s Growth And Well-being. However, Most Existing Parenting Apps Focus On Generic Tracking Without Providing Personalized Insights, Emotional Interpretation, Or Regionally Accessible Support. The Smart Baby Growth And Care Assistantbridges This Gap By Combining Artificial Intelligence (AI), Natural Language Processing (NLP), And Acoustic Analysis To Deliver An Integrated Platform For Baby Milestone Tracking, Product Recommendations, And Emotional Understanding Through Cry Analysis. At Its Core, The System Tracks A Baby’s Developmental Milestones—such As Sleep Cycles, Feeding Patterns, And Growth Metrics—and Uses AI-driven Recommendation Models To Suggest Relevant Baby Products Tailored To The Child’s Age And Needs. The Integrated Chatbot, Built With Multilingual NLP Capabilities, Allows Parents To Interact Using Regional Languages, Making The App More Inclusive And User-friendly. It Responds To Parental Queries, Offers Guidance On Baby Care, And Provides Instant Solutions To Common Concerns. A Distinctive Feature Of The System Is Its Cry Analyzer, Powered By Deep Learning-based Audio Classification. By Processing Acoustic Signals Of The Baby’s Cry, It Identifies Emotional States Such As Hunger, Discomfort, Pain, Or Sleepiness, And Provides Corresponding Suggestions To Parents In Real Time. This Component Significantly Enhances Parental Responsiveness And Understanding, Creating A Smarter Caregiving Experience. The App Architecture Integrates A React Native Front-end For Seamless Mobile Interaction, A Python-based Backend For AI Processing, And Firebase For Real-time Data Synchronization And Storage. All Communications And Personal Data Are Encrypted To Ensure Privacy And Compliance With Child Data Protection Standards. Ultimately, The Smart Baby Growth And Care Assistant Transforms Traditional Parenting Into A Data-driven, Intelligent, And Emotionally Aware Experience. By Combining AI, Analytics, And Multilingual Accessibility, It Empowers Parents To Provide Proactive, Informed, And Personalized Care For Their Babies.
Author: Mr.H.Rajesh | Yuvetha S | Keerthana A | Sree Shajana SS | Jeganathan SP
Read MoreRETRO MART(AI-Driven Platform For Affordable Smartphones)
Area of research: Artificial Intelligence
In An Era Where Sustainability And Affordability Are Becoming Essential Consumer Priorities, Refurbished Smartphones Offer An Eco-friendly And Cost-effective Alternative To Traditional Retail Purchases. However, Most Existing Resale Platforms Lack Transparency, Intelligent Guidance, And Personalized Support, Often Leaving Customers Uncertain About Product Authenticity And Suitability. The Retro Mart – AI-Powered Refurbished Mobile Marketplace Addresses These Challenges By Providing A Secure, Data-driven, And User-centric Platform For Buying And Selling Branded Refurbished Smartphones. Built On The MERN (MongoDB, Express.js, React.js, Node.js) Stack, The System Ensures Seamless Performance, Real-time Updates, And Scalable Management Of Product Listings And User Interactions. Integrated Artificial Intelligence (AI) Enhances The Customer Experience Through A Smart Recommendation Engine That Suggests Mobiles Based On Budget, Brand Preference, And Usage Needs. An AI-powered Chatbot Offers 24/7 Multilingual Customer Support, Addressing Queries Related To Specifications, Warranty, Delivery, And Troubleshooting, Thereby Reducing Human Dependency And Support Delays. To Build Trust And Transparency, The Platform Categorizes Phones Based On Condition Grading, Warranty Information, And Performance Certification Through Seller Verification And Diagnostic Reports. Users Can Compare Multiple Devices Side-by-side Using An AI-based Mobile Comparison System, Helping Them Make Informed Decisions Effortlessly. With Secure Authentication, Encrypted Transactions, And Integrated Payment Support, Retro Mart Ensures Reliability And Safety Throughout The Buying Journey. By Promoting Accessibility, Sustainability, And Intelligent Assistance, The Platform Redefines Refurbished Mobile Shopping As A Smart, Trustworthy, And Future-ready Digital Marketplace
Author: Mrs.S.Sangeetha | Bharathi V | Hemavathy K | Joelin Rani J | Varshini B
Read MoreA Study On The Application Of The Taguchi Method On Piston & Hydraulic System
Area of research: Advanced Welding Techniques And Process Optimization
The Present Study Is Associate In Nursing Experimental Investigation To Check Result Of Vital Friction Stir Welding (FSW) Process Parameters On Hardness Of Surface Changed 60/40brassplates, To Optimize These Parameters And To Work Out That Of Them Is Critical By Exploitation Response Surface Methodology And Taguchi Optimization Method. Experimental Work Was Done Out To Provide Completely Various Levels Of Method Parameters; Friction Stir Welding Joints Were Generated. Tool Rotation Speed, Tool Travel Speed And Range Of Passes. Tool Rotation Speed Is Varied At 3 Levels (710,1000 And 1400 Rpm), Whereas Tool Travel Speed Is Varied At 3 Levels (20,28 And 40 Mm/min). Tool Angle And Plunge Depth Area Unit’s Unbroken Constant. Optimum Combination Of Method Parameters Setting Is Found: Tool Rotation Speed Of One Thousand Rate, Tool Travel Speed Of Twenty Mm/min & Two No. Of Passes.(Tool Motion Speed, Traverse Speed, Pin Profile (based On Taper Angle), The Quantitative Relation Between Shoulder Diameter (D) And Pin Diameter(d) (D/d Ratio), Tool Angle, Plunge Depth, And Base Metal Location.
Author: Rohit Rathod | Praveen Patidar
Read MoreIntelligent SMS Spam Filtering Under Adversarial Conditions Using Random Forests
Area of research: SMS Spam Filtering Under Adversarial Conditions Using Random Forests
The Growing Volume Of Unsolicited And Deceptive SMS Messages Poses A Critical Threat To Mobile Users, Necessitating The Development Of Accurate And Resilient Spam Detection Systems. While Machine Learning (ML)-based Models Have Been Widely Employed To Classify SMS Messages As Spam Or Ham, Most Existing Methods Are Evaluated Only On Clean, Unperturbed Datasets. This Paper Proposes A Random Forest (RF)-based SMS Spam Detection Model Enhanced With TF-IDF Feature Representation And Rigorously Evaluates Its Robustness Against Adversarial Message Manipulations Such As Synonym Substitution, Token Insertion, And Character Obfuscation. The Model Is Trained And Tested On The UCI SMS Spam Collection Dataset, With Adversarial Samples Generated To Simulate Real-world Evasion Attempts. Experimental Results Demonstrate That The Proposed RF Model Achieves An Accuracy Of 97.79%, Significantly Outperforming Several Benchmark Models Reported In The Literature, Even Under Adversarial Conditions. A Detailed Comparison With Prior Studies Highlights The Model’s Superior Robustness And Practicality For Deployment In SMS Filtering Systems. The Work Underscores The Importance Of Adversarial Evaluation And Paves The Way For More Resilient Spam Detection Frameworks.
Author: Neha Khare | Prof. Arpana Jaiswal
Read MoreSmart Document Workflow Automation
Area of research: Artificial Intelligence
In An Era Where Organizations Handle Massive Volumes Of Unstructured And Semi-structured Documents Daily, Traditional Manual Workflows Struggle To Maintain Efficiency, Accuracy, And Compliance. The Smart Document Workflow Automation System (SDWAS) Revolutionizes Document-driven Operations Through Artificial Intelligence (AI), Optical Character Recognition (OCR), And Intelligent Workflow Management. The System Is Designed To Automate Document Capture, Classification, Routing, And Approval—eliminating Repetitive Manual Tasks And Ensuring Faster, More Reliable Business Processing. At Its Core, SDWAS Integrates AI-powered OCR For Document Digitization, Natural Language Processing (NLP) For Intelligent Content Extraction, And State Machine-based Workflow Orchestration For Process Automation. Each Document Is Processed Through A Structured Pipeline That Includes Text Recognition, Metadata Tagging Using Hash Tables, And Routing Through A Hierarchical Approval Tree. The System Dynamically Adapts To Organizational Rules And Priorities, Ensuring Seamless Collaboration And Timely Decision-making Across Departments. The Solution Also Leverages Machine Learning Models For Anomaly Detection And Intelligent Insights, Helping Identify Errors, Fraud Risks, Or Bottlenecks In Document Handling. A Centralized Dashboard Offers Real-time Visibility Into Workflow Stages, Enabling Administrators To Monitor Processing Status, Queue Performance, And Approval Turnaround Times. Integration With APIs Allows Interoperability With Third-party Platforms Such As ERP, CRM, And Cloud Storage Systems, Ensuring Scalability And Adaptability. Beyond Automation, SDWAS Emphasizes Data Integrity, Transparency, And Security. All Transactions Are Logged Immutably, And Sensitive Data Is Encrypted To Ensure Compliance With Enterprise And Data Protection Standards. Its Modular, Microservices-based Architecture Ensures High Scalability And Maintainability Across Diverse Business Environments. Ultimately, The Smart Document Workflow Automation System Bridges The Gap Between Manual Documentation And Digital Intelligence. By Combining Automation, Analytics, And Adaptive AI, It Transforms Document-heavy Operations Into Streamlined, Insight-driven Workflows—empowering Organizations To Achieve Higher Efficiency, Accuracy, And Operational Agility In Today’s Data-driven World.
Author: Swetha S | Praveena K | Yoga Lakshmi M A | Prabhu V
Read MoreGIS BASED ROAD SAFETY AUDIT OF STATE HIGHWAYS IN PIPARIA SH19
Area of research: Civil Engineering
Many Traffic Issues Arise In Cities As A Result Of The Fast Growth In The Number Of Automobiles. This Includes Traffic Accidents As A Significant Factor. In Cities, Accidents Are Caused By A Combination Of Traffic Conditions And User Profiles. The Deaths Are Also Caused By A Number Of Other Factors, Such As Drunk Driving, Speeding, Poor Road Design, Etc. This Study Investigates Road Safety, Specifically The 10.5-kilometer RSA From Sandiya To Piparia On SH19, Which Is The Main Problem For Emerging Nations Like India With Extensive Networks. Road Safety Audits (RSAs) Are A Proactive And Cost-effective Way To Improve Road Safety By Determining Whether The Roads Are Meeting The Highest Safety Standards For All Kinds Of Road Users, Even Though There Are Other Recognised Methods For Identifying Road Safety Deficiencies Or Risk Factors Involved.
Author: Arun Kumar Dwivedi | Hitesh Kodwani
Read MoreANALYSIS OF A COMPOSITE STRUCTURE CONSIDERING USING DIFFERENT TOOLS: A REVIEW
Area of research: Civil Engineering
Building Static Force Analysis Is Now A Common Practice Due To The Accessibility Of Reasonably Priced Computers And Specialised Software. However, Dynamic Analysis Takes A Lot Of Time And Necessitates Extra Information On The Structure's Mass As Well As Knowledge Of Structural Dynamics In Order To Evaluate The Analytical Results. In Metropolitan India, Reinforced Concrete (RC) Frame Buildings Are The Most Prevalent Style Of Construction. Throughout Their Life, These Structures Are Subjected To A Variety Of Factors, Including Dynamic Forces From Earthquakes And Static Forces From Dead And Live Loads.
Author: Sanjay Kaloya | Hitesh Kodwani
Read MoreCOMPARATIVE ANALYSIS OF GEOMETRIC DESIGN USING DIFFERENT TOOLS: A REVIEW
Area of research: Civil Engineering
Given India's Fast Population Growth, There Is A Corresponding Rise In Traffic. Further Transport Facilities Are Being Developed As A Result Of India's Infrastructural Development. The Measurement And Arrangement Of The Road's Visible Elements, Including Alignment, Written Distance, Cross-section, And Intersection, Are Controlled By The Geometric Design.. The Goal Is To Maximise Alignment While Meeting Design Standards And Constraints. Manually Designing Geometric Shapes Takes A Lot Of Effort And Is Prone To Expensive Mistakes. In The Process Of Designing Roads, The Road Alignment Is Created, The Alignment Profile Is Charted Using Bearings Or Coordinates (easting And Northing), Stations, And Elevations Of Points Along The Proposed Route, Sight Distances, Radii Of Horizontal Curves, Lengths Of Vertical Curves, Earthwork Quantities, And Many Other Studies And Calculations Are Performed.
Author: Shitla Prasad | Hitesh Kodwani
Read MoreANALYSIS OF DIFFERENT WATER TANKS: A REVIEW
Area of research: Civil Engineering
The Tanks Are Used To Hold Water, Which Is Subsequently Dispersed Via Public Water Supply Systems. Built At A Certain Height, Water Tanks Are Referred To As "overhead Water Tanks" (OWT) Or "elevated Water Tanks" (EWT). Many Uneven Topographies Can Also Change The Extent Of Seismic-induced Damage To Surface Structures, And Soils With Varying Stiffness Can Influence The Seismic Response Characteristics Of Surface Structures, According To Recent Study On Seismic Analysis Of Structures. Liquid Storage Tanks' Seismic Sensitivity Can Be Studied To Reduce The Possibility Of Earthquake Damage To These Important Buildings. Analysing The Conventional, Braced (diagonal And Cross), And Shell-stagging EWT For Seismic Looad Is The Aim Of The Current Work. Conventional, Braced (diagonal And Cross), And Shell-stagging Elevated Intze Tanks Have All Had Their Lateral Displacement And Base Shear Examined And Compared For That Reason. Comparing Lateral Displacement And Base Shear, The Current Study Showed That EWT Outperformed Traditional EWT.
Author: Praveen Kumar Singh | Hitesh Kodwani
Read MoreAI Mock Interview Platform
Area of research: Artificial Intelligence
Fresh Graduates Often Face Significant Hurdles In Interview Preparation, Struggling With Generic Practice Materials And A Lack Of Personalized Feedback. This Gap Between Academic Knowledge And Industry Expectations Can Lead To Anxiety And Missed Career Opportunities. Traditional Preparation Methods Do Not Adequately Simulate The Dynamic Nature Of Real Interviews Or Cater To The Unique Skills And Job Aspirations Of Each Candidate, Creating A Clear Need For A More Sophisticated And Tailored Practice Tool. To Address These Challenges, This Project Introduces A "Gen AI Based Interview Practice Platform," An Intelligent Web Application Designed To Offer A Customized And Realistic Preparation Experience. By Analyzing A User's Uploaded Resume Or A Specific Job Description, The System Utilizes Artificial Intelligence And Natural Language Processing To Generate Relevant Multiple-choice Questions, As Well As Technical And HR-style Interview Questions. The Platform's Core Feature Is An AI-driven Mock Interview Simulator That Not Only Poses Questions But Also Evaluates The User's Responses In Real-time. The Primary Goal Of This AI Interview Assistant Is To Empower Candidates By Providing Instant, Actionable Feedback On The Accuracy, Clarity, And Relevance Of Their Answers. By Offering A Smart, Accessible, And Comprehensive Readiness Tool, The Project Aims To Effectively Prepare Freshers For The Modern Job Market And Enhance Their Overall Employability
Author: Nirmala D | Vijay Sudhakar S | Darshan D | Ashim S | Kishore K
Read MoreTRUSTMED AI IN HEALTHCARE DIAGNOSIS PROJECT – I REPORT
Area of research: AI&ML
The Healthcare Industry Is Undergoing A Major Transformation With The Integration Of Artificial Intelligence (AI) Into Medical Diagnostics. TRUSTMED AI Is An Innovative AI-powered Diagnostic System That Assists Doctors In Detecting Diseases With High Accuracy, Faster Decision-making, And Reduced Manual Error. This Project Leverages AI Algorithms, Deep Learning Models, And Patient Health Data To Generate Reliable Diagnostic Insights. By Combining Medical Imaging, Patient Symptoms, And Laboratory Data, TRUSTMED AI Helps Healthcare Professionals Make More Precise Clinical Judgments While Maintaining Patient Safety And Data Privacy. This System Aims To Revolutionize Traditional Diagnosis By Automating Early Detection Processes And Minimizing The Time Required For Interpretation Of Medical Tests Such As X-rays, MRI Scans, And Blood Analysis. The Integration Of AI Not Only Supports Doctors But Also Provides Patients With Accessible, Affordable, And Timely Healthcare Services.
Author: Karthikeyan K | Arikesh N | Akash M | Aravind S | Lavanya P
Read MoreComparison Of Petrol Vehicle And Electric Vehicle
Area of research: Commerce With Professional Accounting
The Transition From Internal Combustion Engine (ICE) Vehicles (petrol‐fueled) To Electric Vehicles (EVs) Has Become A Central Component Of Strategies To Mitigate Climate Change, Reduce Air Pollution, And Lessen Dependence On Fossil Fuels. This Study Provides A Comparative Analysis Between Petrol Vehicles And EVs, Examining Total Cost Of Ownership, Environmental Impact, Performance, And Infrastructural And Policy Challenges. Using Recent Data From India—covering Running Costs Per Kilometer, Maintenance And Depreciation, Emission Footprints (both Tailpipe And Lifecycle), Range & Refueling Or Recharging Issues, And Current Government Incentives—the Analysis Reveals That, Despite Higher Upfront Purchase Costs, EVs Tend To Offer Significantly Lower Operating And Maintenance Costs Over Typical Usage Periods. Moreover, EVs Provide Substantial Environmental Benefits, Particularly In Urban Settings, Provided That Electricity Generation Becomes Cleaner. However, Petrol Vehicles Still Retain Advantages In Of Longer Range, Faster Refueling, Resale Value In Some Segments, And In Regions With Weak Charging Infrastructure. The Study Concludes With Policy Recommendations To Enhance EV Adoption, Including Expanding Charging Infrastructure, Improving Battery Technology, And Enhancing Incentives And Regulatory Support
Author: Dr W Saranya | Mr E Mahath Nivan
Read MoreA STUDY ON CONSUMER BUYING BEHAVIOUR TOWARDS ONLINE GROCERY APPS (BLINKIT AND BIGBASKET) IN COIBATORE
Area of research: B.com Professional Accounting
This Study Explores The Grocery Shopping Behaviour And Preferences Of Consumers, Focusing On Factors Such As Frequency Of Shopping, Satisfaction With Product Quality, And Trust In Online Grocery Apps. The Findings Reveal That A Majority Of Respondents Are Young Adults Aged 20–30, With A Fairly Balanced Gender Distribution And Diverse Income Levels. Weekly Shopping Is The Most Common Pattern, Followed By Daily And Monthly Purchases, Indicating That Grocery Shopping Is A Regular Activity For Most Participants. Satisfaction Levels With Product Quality Are Generally High, With Over 75% Expressing Positive Experiences, While Only A Small Fraction Report Dissatisfaction. Regarding App Preference, Bigbasket Emerges As The Most Trusted Platform, Followed By Blinkit, With A Few Respondents Seeing Both As Equal Or Preferring Neither. Overall, The Study Highlights A Youthful, Active, And Largely Satisfied Consumer Base, Providing Valuable Insights For Improving Service Quality, App Usability, And Customer Engagement In The Online Grocery Sector.
Author: Sudhan.A | Dr Jenifer Thangam
Read MoreSmartLend AI
Area of research: Cybersecurity And Fraud Detection
SmartLend AI Is An AI-powered System Designed To Verify A Citizen’s Eligibility For Tamil Nadu Government Loan Schemes. It Uses Generative Artificial Intelligence (GenAI) To Analyze User Details And Compare Them With Official Eligibility Rules. Users Can Upload Their Personal And Financial Information, And The System Automatically Evaluates Their Qualification. If Found Ineligible, It Suggests Alternative Loan Schemes That Better Match The User’s Profile. The System Also Detects Fraudulent Applications And Misuse Attempts Using Intelligent Data Analysis. A Comprehensive Report Is Generated Highlighting Eligibility, Risks, And Possible Legal Issues. It Reduces Manual Workload And Prevents Corruption In Loan Distribution. By Integrating AI And Automation, SmartLend AI Guarantees Fair And Secure Access To Benefits. Overall, It Promotes Trust, Accountability, And Digital Governance In Financial Systems.
Author: Yogesh M | Thirunavukarasu S | Srikaanthv K | Parameshwaran S
Read MoreJob Satisfaction And Well-Being Of Teachers
Area of research: Management
The Present Study Investigates The Relationship Between Job Satisfaction And Well-being Among School Teachers. The Teaching Profession Is Increasingly Characterized By Challenges That Can Negatively Impact Teacher Well-being And Job Satisfaction. A Sample Of 200 (100 Males, 100 Females) School Teachers From Various Institutions In Dharmapuri District, Tamil Nadu, India Participated In This Research, And This Study Utilized The Index Of Job Satisfaction (IJS) To Assess Teachers' Job Satisfaction And The Teacher Subjective Well-being Questionnaire (TSWQ) To Measure Their Well-being. The Findings Reveal Significant Differences Across The Examined Demographic Groups. Additionally, A Strong Positive Relationship Was Identified Between Job Satisfaction And Well-being. These Results Underscore The Importance Of Targeted Interventions To Enhance Teacher Well-being And Job Satisfaction. The Implications Of These Findings For Educational Policy And Teacher Support Programs Are Discussed.
Author: G. Rama | Dr. G. Venkatesan
Read MoreE-COMMERCE PRICE COMPARISON SYSTEM
Area of research: Computer Science And Engineering
In The Fast-paced Electronics Manufacturing Industry, En This Project Presents An E-Commerce Price Comparison System Designed To Help Users Identify The Best Prices For Products Across Multiple Online Shopping Platforms. The System Collects And Compares Product Details Such As Price, Brand, Specifications, And Seller Ratings From Various E-commerce Websites. By Providing A Unified Interface, It Enables Users To Make Informed Purchasing Decisions Quickly And Efficiently. The Platform Enhances User Convenience, Saves Time, And Promotes Transparency In Online Shopping. This System Aims To Simplify Product Comparison, Improve The Customer Shopping Experience, And Support Competitive Pricing Strategies Among E-commerce Vendors.
Author: N.Subasri | J.R.Pavithra | J.S.Rithani | B.Rohindh Samy | D.Sakthivel
Read MoreAI SMART : SCRAP WASTE MANAGEMENT & MONITORING SYSTEM
Area of research: Smart Automation
Efficient Waste Management Is A Growing Challenge In Urban And Industrial Areas, With Improper Sorting Of Recyclable And Non-recyclable Materials Contributing To Environmental Degradation And Resource Inefficiency. Traditional Manual Sorting Methods Are Time-consuming, Error-prone, And Often Unsustainable At Scale. SMART (Scrap Material Automated Recognition And Triage) Is An AI-powered Scrap Waste Sorting System Designed To Address These Issues By Automating The Identification And Classification Of Waste Materials. Leveraging Computer Vision And Machine Learning, SMART Uses A Trained Convolutional Neural Network (CNN) Model To Accurately Detect And Sort Various Types Of Waste—such As Plastics, Metals, Glass, And Paper—based On Visual Input From Camera Sensors. The System Integrates A Raspberry Pi-controlled Conveyor Belt, Real-time Object Detection Via TensorFlow Or PyTorch, And A Robotic Arm Mechanism To Physically Sort Identified Materials Into Appropriate Bins. A User-friendly Dashboard Built With React.js And Flask Provides System Monitoring, Classification Analytics, And Environmental Impact Statistics.
Author: Kirupa P | Jayachandiran R | Kishore S | Pandikumar K | Prajith K
Read MoreRenting Hotel Rooms Using VR
Area of research: Computer Science And Engineering
This Project Introduces A Virtual Reality (VR)-based System For Renting Hotel Rooms, Enhancing The Booking Experience Through Immersive Virtual Tours. Unlike Traditional Platforms With Static Images, This Solution Allows Users To Explore Hotel Rooms In 360 Degrees Before Making Reservations. The System Improves Customer Confidence, Booking Accuracy, And Hotel Engagement By Offering A Realistic Preview Of Rooms And Amenities. Integrating VR In Hospitality Aims To Increase Transparency, User Satisfaction, And Competitiveness In The Hotel Industry.
Author: P.Kirupa | D.Shankar | M.Shyam Raj | S.Somesh Waran | Steve Kallukkaran
Read MoreAI-Powered Student Career Advisor
Area of research: AI
The AI-Powered Student Career Advisor Is An Intelligent Decision-support System That Leverages Artificial Intelligence (AI) To Assist Students In Identifying Suitable Career Paths Based On Their Individual Skills, Interests, And Academic Performance. The Proposed System Integrates Machine Learning (ML) And Natural Language Processing (NLP) Techniques To Analyze User-provided Data From Aptitude Assessments And Personality Evaluations. Using Predictive Modeling, It Recommends Optimal Career Options That Align With The Student’s Capabilities And Aspirations. Additionally, A Chatbot-based Interface Enhances User Interaction By Providing Real- Time Career Guidance, Learning Resources, And Course Suggestions. The System Adopts A Hybrid Recommendation Framework That Continuously Improves Through User Feedback, Ensuring Personalized And Adaptive Guidance. This Approach Aims To Minimize The Gap Between Education And Employability, Promoting Informed Decision-making Among Students. The Research Demonstrates The Potential Of AI- Driven Systems To Revolutionize Traditional Career Counseling By Offering An Accessible, Data-driven, And User-centric Platform For Academic And Professional Development.
Author: P. Kirupa | Dhanush Adithya N.M | Logeshwaran P | Ari Krishna Moorthy P | Surya P
Read MoreImpact Of Part Time Jobs On Academic Performance Of College Students
Area of research: Commerce With Professional Accounting
Part-time Jobs Have Increasingly Become An Integral Aspect Of College Life As Students Strive To Meet Financial Needs, Gain Work Experience, And Develop Essential Life Skills. The Influence Of Such Employment On Academic Performance, However, Is A Matter Of Growing Concern. This Study Examines The Impact Of Part-time Jobs On The Academic Outcomes Of College Students, Highlighting Both The Advantages And Challenges Associated With Balancing Work And Study. On The Positive Side, Part-time Work Fosters Responsibility, Discipline, Time Management, And Practical Exposure, Which May Indirectly Enhance Academic Performance By Improving Organizational Skills And Motivation. Furthermore, Financial Independence Reduces Stress Related To Tuition And Living Expenses, Allowing Students To Focus Better On Their Studies. On The Negative Side, Long Working Hours And Physically Or Mentally Demanding Jobs May Lead To Fatigue, Absenteeism, And Reduced Time For Assignments, Preparation, And Participation In Academic Activities. The Study Finds That The Effect Of Part-time Jobs Largely Depends On The Number Of Hours Worked And The Nature Of Employment. Students Working Limited And Flexible Hours Often Maintain Or Even Improve Academic Performance, Whereas Those With Excessive Workloads Experience Academic Decline. Therefore, The Research Concludes That Part-time Employment, When Managed Appropriately, Can Contribute Positively To Student Development Without Severely Compromising Academic Achievement. The Key Lies In Maintaining A Healthy Balance Between Educational And Employment Responsibilities
Author: Dr W Saranya | Mr K.Aadithya
Read MoreObject Detection For The Visually Impaired Using Machine Learning
Area of research: Smart Automation
This Project Applies Real-time Object Detection Using Artificial Intelligence (AI) And Computer Vision To Support Visually Impaired Individuals In Understanding And Interacting With Their Surroundings. By Combining A Live Video Feed From A Camera With An Object Detection Model, The System Provides Accurate, Real-time Identification Of Nearby Objects Through Auditory Cues. This Approach Aims To Empower Users To Make More Informed Decisions Rather Than Relying Solely On Memory Or External Assistance. Key Features Of The System Include: • Real-time Object Recognition. • Text-to-speech (TTS) Conversion For Audio Feedback. • A Lightweight, Portable Design Intended As A Low-cost Assistive Solution. The Project Discusses The Technical Architecture, Which Employs A Design Thinking Methodology For A User-centric Tool. The Outcome Demonstrates How AI-based Object Detection Can Transform Traditional Mobility Aids Into More Interactive, Intelligent, And User-centric Tools, Enhancing User Autonomy And Reducing Daily Navigation Challenges.
Author: Nirmala D | Kisore R | Dhanushkumar L | Sasikumar S | Tamizhan R
Read MoreSentimental Comment Analyzer
Area of research: Artificial Intelligence
In The Digital Age, Social Media Platforms Like YouTube Have Become Central To Online Interaction, With Vast Amounts Of User-generated Content That Reflect Diverse Opinions, Feedback, And Sentiments. Analyzing This Content Offers Powerful Insights, But Manually Processing Large Volumes Of Comments Can Be Time-consuming And Inefficient. Leveraging Artificial Intelligence (AI) In Sentiment Analysis Has Transformed How We Interpret Online Sentiment, Enabling Faster, More Accurate Categorization Of User Feedback. This Paper Presents The Architecture And Benefits Of An AI-powered Sentiment Comment Analyzer Designed To Automatically Assess User Sentiment On Platforms Like YouTube, Enhancing Content Creators' And Analysts' Understanding Of Audience Perceptions.The Proposed System Integrates AI Features Like Natural Language Processing For Extracting Context And Tone From Text, Machine Learning Models For Categorizing Comments Into Positive, Negative, Or Neutral Sentiments, And Real-time Analytics For Tracking Sentiment Shifts Over Time. Additionally, It Supports Customizable Sentiment Thresholds, Automated Alerts For Significant Feedback Changes, And Visual Sentiment Reports To Provide Actionable Insights.Through AI-driven Sentiment Analysis, The System Ensures Improved Insight Accuracy, Better Audience Engagement Strategies, And Rapid Response Capabilities. Our Platform’s Sentiment Analysis Tools Leverage Adaptive Machine Learning Algorithms That Refine Their Sentiment Detection Accuracy Over Time, Ensuring The Analysis Remains Relevant And Precise. This System Offers A Comprehensive, Data-rich Solution For Interpreting Social Media Feedback, Meeting The Growing Need For Nuanced Audience Understanding In Today’s Digital Landscape.
Author: Dharanidharan N | Dharmesh S | Dharshana K | Gokulpriya J | Subasri N
Read MoreTHE MODERATING ROLE OF PRODUCT INNOVATION IN THE IMPACT OF ARTIFICIAL INTELLIGENCE ON CUSTOMER TRUST AND CONSUMER WELL- BEING
Area of research: Commerce In Computer Applications
This Paper Focuses On The Effect Of Artificial Intelligence On Customer Trust And Well-being With The Moderating Role Of Product Innovation. Across The World, The Internet Of Things (IoT), Cloud Computing, Big Data, And Blockchain Are The Growing Technologies That May Generate Winners And Losers. Now, Artificial Intelligence Plays A Crucial Role In The Corporate World.In This Study, The Simple Random Sampling Technique Is Adopted. The Employees And Customers In The Banking Industry Are Respondents. The Standardized Measurement Scale Is Used To Collect The Data. The Factor Analysis, Discriminant Analysis, And Path Coefficients Were Performed. The Findings Were The Influence Of Artificial Intelligence On Customer Trust And Customer Well-being Is Positive And There Is A Moderation Effect Of Product Innovation In The Relationship Between Artificial Intelligence, Customer Trust, And Customer Well-being.The Implementation Of Artificial Intelligence Is Consequential In This World Which Is Innovative And Smart. Indian Banks Are Dynamically Capitalizing On Sophisticated Technologies. Artificial Intelligence Has The Probability To Identify Frauds, Moderate Uncertain Risks, And Assist In Controlling Regulatory Observance.
Author: Pavithra Sivagnanam | Arvindh Rajasekar
Read MoreNEUROTWIN AI
Area of research: Computer Science
NeuroTwin AI Is An Intelligent Healthcare System Designed To Build A Personalized Digital Twin Of The Human Brain. At Present, Treatment Planning For Brain-related Diseases Such As Epilepsy, Alzheimer’s, And Parkinson’s Relies Heavily On Trial-and-error Methods, Where Doctors Prescribe Medications Or Suggest Procedures Without Being Able To Simulate Outcomes In Advance. This Uncertainty Often Leads To Ineffective Treatments, Risks To Patient Safety, And Increased Healthcare Costs. NeuroTwin AI Addresses This Challenge By Creating A Virtual Brain Model Using MRI, FMRI, EEG, And Clinical Data, Allowing Doctors To Simulate Therapies Such As Medications, Deep Brain Stimulation (DBS), Transcranial Magnetic Stimulation (TMS), And Surgical Procedures In A Safe Digital Environment. The System Also Employs Explainable Artificial Intelligence (XAI) Techniques Like SHAP, LIME, And Grad-CAM, Ensuring That Every Prediction And Recommendation Is Accompanied By Clear Reasoning, Thereby Improving Doctor Trust And Transparency. The Development Of This System Follows A Structured Methodology Involving Communication With Clinicians, Planning Of Modules, Data Modeling, And Deployment Of AI-based Simulations. It Is Built Using Advanced Algorithms Such As Convolutional Neural Networks (CNN), Graph Neural Networks (GNN), State-Space Models, And Reinforcement Learning, Supported By Federated Learning To Ensure Patient Privacy. Testing Is Carried Out Through Validation Against Real Patient Data And Clinician Feedback. The Result Of This Project Is A Prototype Of NeuroTwin AI, Which Enables Doctors To Explore Treatment Outcomes Virtually, Reduce Risks, Improve Decision-making, And Save Time And Resources. This System Has The Potential To Transform The Way Neurological Treatments Are Planned And Delivered, Offering Safer, More Effective, And Personalized Healthcare
Author: Suguna M | Harish V | Deepak S | Jai Sarvesh N | Guhan D
Read MoreHCM AS A CATALYST : MODERATING ROLE AND ENHANCING TEAM SYNERGY
Area of research: Commerce
In The Era Of Dynamics, Firm Require Talented Pool Of Employees Who Constantly Work Towards Organisational Goals To Achieve Competitive Advantage. Employees Who Are Satisfied, Work Efficiently And Contribute Towards Organisational Innovation And Excellence. The Study Attempts To Explore The Impact Of Satisfaction Of Job, Superior Satisfaction, Pay Satisfaction, Training And Development And Job Insecurity On Human Capital Management.
Author: Ms.Rekha. R | Dr.V.Senthilkumar
Read MoreCauses Of Cancer; And Treatment In Chemotherapy
Area of research: Medicine
Cancer Is Defined As The Genomic And Epigenomic Levels, The Cells That Converts Into Neoplasy Cells , And Function For The Invasion Of Other Tissues. Nowadays Cancer Is The 2nddeathable Disease With A 20 Million Deaths All Over The World. Cancer Is Arrises As A Main Problem In 21st Century, Till Now We Are Fighting Against Cancer , There Is No Equal Medical Access To Everyone Because It Leads To Economical. And It Major In With A Low Human Development Index. According To 2024 Reports Of The World Health Organization 2024 Report, Diagnosed The 2.3 Million With Breast Cancer. Breast Cancer Is One Of Fifth Major Cause Of Death In China. To Identify The Type Of Molecular Subtypes In Cancer New Discovey Were Proposed, A Adaptive Deep Shared Latent Representation (ADSLR). The Cancer Is Eliminated In Many Ways Like One Of Its In Animal Is Calorie Restrifction Leads To Changes In Gene Expression Related Protein P62 In Mice. In Humans Skin Autofluorescence (SAF) Causes The Type 2 Diabetes (T2D), Heart Disease, Birth Diseases. For Treating The Various Types Of Cancer Present Used Are Stem Cell Therapy, Targeted Therapy, Ablation Therapy, Nanoparticles, Antioxidants, Radionics, Chemodynamic Therapy, Sonodynamic Therapy ,and Ferroptosis-based Therapy. Chimeric Antigen Receptor (CAR) T Cell Therapy Is The Major Solution For Cancer Therapy.