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Volume: 12 Issue 06 June 2026
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Current Issue
AI-Enhanced Centralized Knowledge Sharing Platform For College Students
Area of research: Information Technology
For New Batches Of Students Who Are Often Con-fused With Their Respective Admissions And Placements, Existing Digital Platforms Do Not Always Relate To Relevance And Often Appear Vague. Legacy Campus Search Engines Are Built On Simple Keyword-based Algorithms That Are Cumbersome And Not User-friendly. We Propose A Centralized Knowledge Base Powered By Artificial Intelligence (AI) Techniques That Enable More Efficient Search Through Semantic Retrieval, Large Language Models (LLMs), And Personalized Ranking. This System Includes Structured Q&A, Resource Sharing, And Context-based Ranking On The Basis Of User Profiles Such As Branch, Year, And Interests. The Proposed System Was Evaluated Through User Testing Followed By Performance Evaluation. Results Demonstrate That The Platform Can Lower Search Time By 30%–40%, Improve Result Relevancy By 25%–35%, And Yield Greater User Satisfaction Compared To Keyword-based Platforms. Findings Also Indicate That Users Had A Positive Experience With Interview Experience Summaries And Personalization Filters, Which Improved Information Accessibility And Encouraged Continued Platform Engagement. The Findings Confirm That Applying AI-based Ranking Alongside Semantic Search Significantly Increases Information Discovery And Peer Interaction Among College Stu-dents.
Author: Manasi Ahire | Yadnesh Bhoomkar | Savim Meshram | Prashik Ramteke | A. P. Kulkarni
A Web-Based Recruitment System Using Java Technologies
Area of research: NA
This Paper Describes The Design And Development Of A Web-based Job Portal System Aimed At Making The Recruitment Process Faster And Less Cumbersome. Built With Java, Servlets, JSP, And MySQL, The Platform Brings Job Seekers And Employers Together In One Place. Candidates Can Register, Build Profiles, Upload Their Resumes, And Submit Applications, While Employers Get Tools To Post Openings And Track Incoming Applicants. Rather Than Relying On AI-driven Matching, The System Uses Skill-, Experience-, And Category-based Database Filtering To Connect The Right Candidates With The Right Roles. Security, Clean Data Flow, And Ease Of Use Were Central Priorities Throughout Development. Evaluation Results Confirm That The System Meaningfully Cuts Down Recruitment Time, Lowers Manual Workload, And Makes The Hiring Process More Accessible For Everyone Involved.
Author: Nalawade Ishwari Atul | Awari Kanchan Santosh | Mane Shradha Sunil | Sawant Uddhav Chandu | V P Tonde
A Review On Statistical Models For Estimating Damages On Bridges To Transportation Safety
Area of research: Transportation Engineering
With Rapid Advances In Statistical Modelling And Data Analysis, Analysis Of Bridge Failure And Damage Is Also Being Considered Under The Purview Of Statistical Models. It Is Ubiquitous That Manual Inspection Of Bridge Damage And Estimations Are Time Consuming And May Not Be Practically Feasible In Cases Where The Experts Are Not Readily Available And/or Sites Of Huge Mass Calamities Such As Earthquake Prone Cites. Thus A Quick Estimation And Evaluation Of The Damages Is Necessary So As To Immediately Stop The Cascading Effect Of The Possible Failure And Casualties. In This Paper, A Comprehensive Review On The Various Statistical Techniques Being Employed For The Evaluation Of Bridge Failure Have Been Discussed Along With The Salient Points. Previous Work In The Domain Has Also Been Cited So As To Garner Attention Towards The Recent Trends In The Domain. The Evaluation Metrics Commonly Employed For The Analysis Of The Statistical Systems Have Also Been Defined. It Is Expected That This Comprehensive Review Would Pave The Path For Further Research Domains In The Field.
Author: Rajesh Kumar | Dr. Sunil Sugandhi
A Study On Recruitment Policy And Employee Retention Strategies In Linux Life Sciences Private Limited
Area of research: Human Resource
This Study Examines The Recruitment Policies And Employee Retention Strategies Followed By Linux Life Sciences Private Limited, Puducherry. The Research Analyzes Factors Such As Work Environment, Management Support, Compensation, Career Growth, Employee Engagement, And Training Programs That Influence Employee Retention And Job Satisfaction. Primary Data Were Collected From 100 Employees Through A Structured Questionnaire, And The Data Were Analyzed Using Percentage Analysis And Karl Pearson’s Correlation Coefficient. The Findings Reveal That A Supportive Work Environment, Effective HR Practices, Recognition, Rewards, And Career Development Opportunities Significantly Improve Employee Retention And Organizational Performance. A Strong Positive Correlation (r = 0.946) Was Found Between Work Environment And Job Satisfaction. The Study Concludes That Strategic Recruitment And Retention Practices Play A Vital Role In Improving Employee Loyalty, Productivity, And Overall Organizational Effectiveness.
Author: M. Harish Raj | N. Indumathi
AI-Powered Intelligent Framework For Detection And Prevention Of Cybersecurity Attacks Using Machine Learning Algorithms
Area of research: Computer Applications
The Rapid Growth Of Digital Technologies Has Substantially Increased Exposure To Cybersecurity Threats Including Malware, Phishing, Ransomware, And Unauthorized Network Intrusions. Traditional Signature-based Security Systems Are Inherently Reactive And Fail Against Zero-day Exploits And Polymorphic Attacks. This Paper Presents ThreatGuardian, An AI-powered Cybersecurity Threat Detection And Prevention Framework That Leverages Machine Learning Algorithms — Random Forest (RF), AdaBoost Classifier (ADC), And Bernoulli Naive Bayes Classifier (BNC) — To Identify And Classify Malicious Network Activities In Real Time. The System Integrates Data Preprocessing, Exploratory Data Analysis, Feature Extraction, And Model Evaluation Pipelines With A Django-based Web Interface For Practical Deployment. Trained And Evaluated On A Publicly Available Network Intrusion Dataset From Kaggle, The Best-performing Model Is Serialized And Deployed For Real-time Inference. Performance Evaluation Using Accuracy, Precision, Recall, And F1-score Demonstrates That The Proposed Framework Significantly Outperforms Traditional Rule-based Methods, Providing An Adaptive, Scalable, And User-accessible Solution For Modern Cyber Threat Management.
Author: Giritharan R | Dr. K. Annalakshmi
STRATEGIC ONBOARDING AND EMPLOYEE RETENTION
Area of research: HUMAN RESOURCES
This Study Examines The Role Of Strategic Onboarding In Influencing Employee Retention At Skylark Information Technologies Private Limited, A Leading IT Services Company Headquartered In Chennai, India. The Study Employs A Descriptive Research Design With Primary Data Collected From 56 Respondents Who Had Undergone The Company's Onboarding Programme. The Survey Instrument Covered Five Key Dimensions: Pre-joining Preparation, Role And Goal Clarity, Cultural And Team Integration, Training And Learning Effectiveness, And Employee Wellbeing And Retention Intent. Statistical Analysis Using Percentage Analysis, Chi-Square Test, And Pearson Correlation Revealed That The Onboarding Programme Is Largely Effective Across All Dimensions. The Chi-Square Test Confirmed A Statistically Significant Association Between Training Programme Effectiveness And Retention Intention (χ² = 28.743, Df = 16, P = 0.026 < 0.05). The Pearson Correlation Analysis Established A Moderate Positive And Significant Relationship Between The Overall Onboarding Experience And Retention Intention (r = 0.312, P = 0.019). The Study Concludes That Strategic Onboarding Is A Critical Driver Of Early-stage Employee Retention In IT Organisations And Provides Actionable Recommendations For Further Strengthening Skylark's Onboarding And Talent Retention Framework.
Author: JOEL PRITHIV RAJ P | INDUMATHI N
AI Cardiologist: Advancements In Supervised Learning For Heart Disease Prediction
Area of research: Machine Learning
Cardiovascular Disease (CVD) Continues To Pose A Significant Global Health Challenge, Demanding Innovative Approaches For Early Detection And Prevention. This Paper Presents An AI Cardiologist System That Leverages Supervised Machine Learning Techniques To Predict Heart Disease With High Accuracy. The Proposed System Integrates A Bagging Classifier Ensemble Method Alongside A LeNet Convolutional Neural Network Architecture To Analyse Multi-dimensional Patient Data—including Demographics, Clinical History, Laboratory Results, And ECG Readings. The System Is Deployed As A Full-stack Web Application Using The Django Framework, Enabling Clinicians To Receive Real-time, Personalised Risk Assessments. Experiments Conducted On The UCI Heart Disease (CARDIO) Dataset Demonstrate Competitive Accuracy. Future Directions Include Integration Of Explainable AI (XAI) And Federated Learning To Enhance Transparency And Privacy Preservation.
Author: Vinoth M | Dr.K.Annalakshmi
Study On Impact Of Compensation And Benefits Of Employee Retention
Area of research: MBA
Employee Retention Has Become One Of The Major Concerns For Organizations In Today’s Competitive Business Environment. Compensation And Benefits Play A Vital Role In Improving Employee Satisfaction And Reducing Employee Turnover. The Present Study Aims To Analyse The Impact Of Compensation And Benefits On Employee Retention In Swashthik Using PlasconPvt. Ltd. The Study Was Conducted Among Employees Working In The Organization A Structured Questionnaire. Both Primary And Secondary Data Were Used For The Research. The Collected Data Were Analysed Using Percentage Analysis, Correlation Analysis, And Chi-square Analysis. The Findings Reveal That Salary Structure, Incentives, Overtime Payment, Medical Benefits, And Leave Policies Significantly Influence Employee Retention. The Study Concludes That Effective Compensation And Benefit Policies Improve Employee Motivation, Job Satisfaction, And Loyalty Toward The Organization.
Author: HARIHARAN P | A Dharani
Impact Of Recruitment Process Outsourcing On Organizational Recruitment Effectiveness
Area of research: Human Resource Management
Recruitment Process Outsourcing (RPO) Has Emerged As A Widely Adopted Strategic Approach In Human Resource Management (HRM), Enabling Organizations To Delegate Hiring Functions To Specialized External Agencies. This Study Investigates The Impact Of Outsourcing On Recruitment Effectiveness, With A Specific Focus On Cost Efficiency, Time-to-hire, Candidate Quality, Cultural Alignment, And HR Strategic Reorientation. Using A Quantitative Research Design, Primary Data Were Collected From 123 HR Professionals And Employees In The Training And Services Sector Through Structured Questionnaires. Statistical Tools Including Percentage Analysis, Chi-square Tests, One-way ANOVA, Pearson Correlation, And Linear Regression Were Employed For Data Analysis. Findings Reveal That Outsourcing Significantly Reduces Time-to-hire And Improves Candidate Quality, While Also Enhancing HR Capacity For Strategic Activities. However, Challenges Related To Cultural Mismatch, Communication Gaps During Bulk Hiring, And Vendor Dependency Were Identified. The Study Concludes That RPO, When Managed Strategically, Delivers Measurable Benefits In Recruitment Efficiency And Quality, And Provides Actionable Recommendations For Optimizing Outsourcing Partnerships.
Author: Vershan K | Indumathi N
ROLE OF MANAGEMENT POLICIES IN IMPROVING WORK-LIFE BALANCE OF FACTORY WORKERS
Area of research: MANAGEMENT STUDIES
Work-life Balance Has Emerged As A Critical Concern In Modern Manufacturing Organizations Due To Its Impact On Employee Well-being, Job Satisfaction, And Organizational Productivity. Factory Workers Often Face Challenges Such As Shift Work, Overtime Demands, Physical Strain, And Limited Flexibility, Which May Negatively Affect Their Personal And Family Lives. This Study Examines The Role Of Management Policies In Improving The Work-life Balance Of Factory Workers. The Research Adopted A Descriptive Research Design And Collected Primary Data From 100 Factory Workers Through A Structured Questionnaire. Statistical Tools Such As Percentage Analysis, Chi-square Test, And Correlation Analysis Were Used To Interpret The Data. The Findings Indicate That Effective Management Policies, Including Leave Provisions, Flexible Shift Arrangements, Transport Facilities, Health And Wellness Programs, And Employee Support Initiatives, Positively Influence Employees’ Work-life Balance. However, Overtime Management And Mental Health Support Require Further Improvement. The Study Concludes That Well-designed And Effectively Implemented Management Policies Contribute Significantly To Employee Satisfaction, Retention, And Organizational Performance.
Author: RAJKUMAR K | Dharani A
A Study On Factors Influencing B2b Purchase Decision In Industrial Engineering Services In Fives India Engineering And Project Private Limited
Area of research: Marketing
Business-to-Business (B2B) Purchase Decisions Play A Significant Role In Industrial Engineering Services, Where Organizations Select Suppliers And Service Providers To Improve Operational Efficiency And Achieve Organizational Goals. The Purchasing Process Involves Evaluating Several Factors Such As Service Quality, Technical Capability, Supplier Reliability, Pricing, Delivery Performance, And Customer Support. This Study Aims To Identify The Major Factors Influencing B2B Purchase Decisions In Industrial Engineering Services And Examine Their Impact On Customer Satisfaction. The Research Is Descriptive In Nature And Is Based On Primary And Secondary Data. Primary Data Were Collected Through A Structured Questionnaire From 140 Respondents. Statistical Tools Such As Percentage Analysis, Chi-Square Test, And Correlation Analysis Were Used For Data Analysis. The Findings Reveal That Service Quality, Technical Expertise, Timely Delivery, And Supplier Reliability Are The Most Influential Factors Affecting Purchase Decisions. The Study Concludes That Effective Supplier Selection Contributes Significantly To Customer Satisfaction And Organizational Performance.
Author: SRIDEVI V | PRADHAP.B
A Study On Equal Employment Opportunities In The Recruitment And Selection Process At TVS Training And Services Ltd
Area of research: Human Resource Management
Equal Employment Opportunity (EEO) Is A Fundamental Principle Of Human Resource Management That Ensures Fairness, Equality, And Non-discrimination In Recruitment And Selection Practices. This Study Examines Employee Perceptions Regarding The Implementation Of EEO Practices Within Organizational Recruitment Processes. The Research Focuses On Fairness, Transparency, Policy Awareness, Ethical Hiring Practices, And Employee Satisfaction. A Quantitative Research Design Was Adopted, And Data Were Collected From 106 Respondents Using A Structured Questionnaire. Statistical Techniques Such As Percentage Analysis, Independent T-test, ANOVA, Correlation Analysis, And Friedman Ranking Test Were Used For Data Analysis. The Findings Reveal That Employees Generally Perceive Recruitment And Selection Practices As Fair, Transparent, And Inclusive. Strong Positive Relationships Were Identified Between EEO Practices, Recruitment Processes, Recruitment Policies, And Employee Satisfaction. The Study Concludes That Effective Implementation Of Equal Employment Opportunity Principles Contributes Significantly To Employee Satisfaction And Organizational Credibility.
Author: Dhilip J | Mrs. A. DHARANI
ANALYTICAL STUDY ON THE ROLE OF OPERATIONS EXECUTIVE IN IMPROVING OPERATIONAL EFFICIENCY
Area of research: MANAGEMENT
This Study Analyses The Role Of Operations Executive In Improving Operational Efficiency At Power Mech Projects Limited, A Leading Engineering, Procurement, And Construction (EPC) Company Headquartered In Hyderabad, India. Operations Management Is Critical In Engineering And Infrastructure Industries Where Project Timelines, Manpower, And Resource Utilization Directly Impact Organizational Success. The Study Adopts A Descriptive Research Design With Primary Data Collected From 100 Employees Using A Structured Questionnaire. Statistical Tools Including Percentage Analysis, Chi-square Test, Correlation, And Weighted Average Method Were Used For Data Analysis. Findings Reveal That Operations Executives Play A Significant Role In Improving Workflow Management, Employee Coordination, Productivity, And Operational Performance. The Study Concludes That Effective Operational Coordination, Communication, And Supervision Contribute Positively To Achieving Organizational Efficiency And Project Success.
Author: LAVANYA L | SUGANTHI A
Optimizing Scrap Management And Utilization Strategies In Automobile Component Manufacturing: An Empirical Study
Area of research: Operations
This Research Investigates The Scrap Management And Utilization Strategies Adopted In An Automobile Component Manufacturing Plant, Focusing On Identifying Systemic Inefficiencies, Evaluating Employee Perceptions, And Validating The Financial Impact Of Optimization Interventions. A Structured Questionnaire Was Administered To 139 Employees Across Multiple Departments. Descriptive Percentage Analysis, Pareto Analysis, And A Paired-Samples T-Test Using IBM SPSS Were Employed To Analyze The Data. Findings Reveal That Poorly Segregated Mixed Scrap And Oversized Loose Scrap Collectively Account For Approximately 99.9% Of Total Scrap Tonnage. The Implementation Of Optimized Nesting Layouts And High-density Baling Workflows Produced A Statistically Significant Reduction In Monthly Scrap Costs (mean Reduction: ₹28.98 Lakhs Per Production Line; T(4) = 10.130, P = 0.00053). The Study Provides Actionable Recommendations Including Source-level Segregation, IoT-based Tracking, Structured Employee Incentive Programs, And Design-for-manufacturability Initiatives.
Author: BALAJI VARMAN E V | Indumathi N
A COMPARATIVE STUDY OF FIBERGLASS PRODUCTS VS PLASTIC PRODUCTS IN MARKETING
Area of research: Marketing
This Study Entitled “A Comparative Study Of Fiberglass Products Vs Plastic Products In Marketing” Aims To Compare Fiberglass And Plastic Products Based On Customer Perception, Quality, Durability, Pricing, And Marketing Effectiveness. The Study Was Conducted To Understand Consumer Preferences And Identify The Factors Influencing Their Purchasing Decisions. A Descriptive Research Design Was Adopted, And Primary Data Were Collected From 100 Respondents Through A Structured Questionnaire Using The Convenience Sampling Method. The Collected Data Were Analyzed Using Percentage Analysis, Mean Score Analysis, Comparative Analysis, And The Chi-Square Test. The Findings Reveal That Fiberglass Products Are Highly Preferred For Their Durability, Strength, Performance, And Long-term Value, Whereas Plastic Products Are Preferred For Their Affordability And Ease Of Use. The Study Also Indicates That Environmental Concerns And Product Quality Significantly Influence Consumer Buying Behavior. Furthermore, The Results Show That Customers Have A Positive Perception Of Fiberglass Products And Recognize Them As A Reliable Alternative To Plastic Products. The Study Concludes That Effective Marketing Strategies, Increased Consumer Awareness, And Continuous Product Improvement Can Help Strengthen Its Competitive Position And Achieve Sustainable Growth In The Market
Author: PAVITHRA MK
A STUDY ON EMPLOYEE PERFORMANCE APPRAISAL SYSTEM WITH REFERENCE TO VELL BISCUITS PRIVATE LIMITED
Area of research: HUMAN RESOURCE
Performance Appraisal Is A Systematic Process Used By Organizations To Evaluate Employee Performance And Determine Their Contribution Towards Achieving Organizational Objectives. It Serves As A Valuable Tool For Improving Employee Productivity, Identifying Training Needs, Motivating Employees, And Supporting Managerial Decisions Regarding Promotions, Transfers, Rewards, And Career Development. In Today's Competitive Business Environment, An Effective Performance Appraisal System Is Essential For Maintaining Employee Satisfaction And Enhancing Organizational Performance. The Present Study Focuses On Evaluating The Employee Performance Appraisal System At Vell Biscuits Private Limited. The Study Aims To Analyze Employee Perceptions Regarding The Appraisal Process, Examine Its Effectiveness In Motivating Employees, And Assess Its Impact On Organizational Growth. The Research Is Descriptive In Nature And Is Based On Both Primary And Secondary Data. Primary Data Were Collected From 120 Employees Through A Structured Questionnaire. Statistical Tools Such As Percentage Analysis, Chi-Square Test, And Correlation Analysis Were Used To Analyze The Collected Data. The Findings Indicate That Employees Generally Have A Positive Opinion Regarding The Performance Appraisal System. Most Employees Believe That The Appraisal System Helps In Identifying Strengths And Weaknesses, Supports Promotion Decisions, Improves Motivation, And Contributes To Personal Growth. The Study Concludes That The Performance Appraisal System Adopted By Vell Biscuits Private Limited Plays A Significant Role In Enhancing Employee Performance And Organizational Effectiveness.
Author: VIJAYASANTHI V | DHARANI.A
FINANCE AND ACCOUNTING PRACTICES WITH SPECIAL REFERENCE TO STIPEND MANAGEMENT: AN EMPIRICAL STUDY
Area of research: FINANCE MANAGEMENT
Finance And Accounting Practices Play A Vital Role In Ensuring Transparency, Accountability, And Effective Utilization Of Financial Resources Within Organizations. Among Various Financial Activities, Stipend Management Is A Critical Function In Institutions That Provide Training, Internships, Or Apprenticeship Programs. This Study Examines The Effectiveness Of Finance And Accounting Practices In Stipend Administration, Focusing On Areas Such As Calculation Accuracy, Payment Timeliness, Internal Controls, Budgeting, Financial Reporting, And Reconciliation Procedures. A Descriptive Research Design Was Adopted, And Primary Data Were Collected Through A Structured Questionnaire Administered To 102 Respondents Involved In Finance And Administrative Activities. Secondary Data Were Obtained From Financial Records, Reports, Journals, And Related Documents. Statistical Tools Including Chi-Square, Correlation, Regression, One-Way ANOVA, And Mann–Whitney U Test Were Used For Analysis. The Findings Reveal That Although Finance And Accounting Practices Provide A Structured Framework For Stipend Administration, Respondents Exhibit Mixed Perceptions Regarding Their Effectiveness. Correlation Results Indicate A Significant Positive Relationship Between Accounting Practices And Stipend Management Effectiveness, While Regression Analysis Demonstrates Limited Predictive Influence. The Study Concludes That Financial Systems Alone Are Insufficient To Ensure Efficient Stipend Administration And Recommends Greater Automation, Stronger Internal Controls, Enhanced Coordination, And Improved Reporting Mechanisms. Future Research May Explore Technological And Organizational Factors Affecting Stipend Management Effectiveness.
Author: GOKUL B | INDUMATHI N
A STUDY ON COMPETITIVE ADVANTAGE OF BRITANIA BISCUITS OVER SUN FEAST WITH REFERENCE TO VELL BISCUITS PVT LTD.,
Area of research: Marketing
This Paper Evaluates The Competitive Dynamics Of The Indian Biscuit Industry, Comparing The Market Leader, Britannia Industries, With Its Major Challenger, ITC Limited’s Sunfeast Brand. The Empirical Investigation Is Anchored In Vell Biscuits Private Limited (Thirubuvanai, Puducherry), A Key Contract Manufacturing Unit That Dedicates Its Full Production Capacity To ITC's Biscuit Lines. Utilizing A Descriptive Research Design, Primary Quantitative Data Was Gathered From 150/156 Respondents Across The Local Consumer Ecosystem Using Structured Questionnaires. The Empirical Framework Subjects Consumer Evaluations Across 21 Product, Marketing, And Logistical Parameters To Percentage Analysis, Chi-Square Test Of Independence, And Weighted Average Score Analysis Aggregated Into Four Strategic Pillars. The Statistical Results Reveal A Highly Significant Association (\chi^2 = 83.537, Df = 16, P < 0.001) Between Consumer Satisfaction Ratings, Demonstrating That Brand Perceptions Are Dynamically Benchmarked Against Each Other Rather Than Evaluated In Isolation. The Weighted Average Score Matrix Confirms That Britannia Maintains A Consistent Competitive Advantage Across All 21 Parameters, Achieving Its Most Substantial Margins In Distribution Channel Availability, Supply Chain Regularity, And Pricing Satisfaction. Conversely, Sunfeast Demonstrates Notable Strength And Market-share Expansion Through High-end Product Innovation, Attractive Packaging, And Premium Flavor Variants. Strategic Recommendations Are Provided For Britannia To Accelerate Its Premium Innovation Cycle, For Sunfeast To Consolidate Mass-market Quality Consistency, And For Vell Biscuits To Align Manufacturing Logistics With Regional Demand Variations.
Author: PUNITHA P | PRADHAP B | Dr. N. Indumath
A Study On Employee Satisfaction And Retention Strategy At Arul Polymers Pvt Ltd Company
Area of research: Human Resources
Employee Satisfaction And Retention Are Critical Components Of Organizational Success In Today’s Competitive Business Environment. Satisfied Employees Are More Productive, Committed, And Likely To Remain With An Organization, Thereby Reducing Turnover Costs And Enhancing Overall Performance. This Study Explores The Key Factors Influencing Employee Satisfaction, Including Work Environment, Compensation, Recognition, CareerDevelopment Opportunities, And Leadership Support. It Also Examines Various Retention Strategies Employed By Organizations To Maintain A Stable And Motivated Workforce. Through A Review Of Relevant Literature And Practical Case Analysis, The Study Highlights The Strong Correlation Between Employee Satisfaction And Retention Rates. The Findings Emphasize The Need For Organizations To Adopt A Proactive Approach By Fostering A Positive Organizational Culture, Offering Competitive Benefits, And Ensuring Continuous Employee Engagement. The Study Concludes That An Integrated Strategy Focusing On Employee Needs And Expectations Is Essential For Long-term Retention And Organizational Growth.
Author: V.Madhumitha | Aranganathan. K.J
Grozo: An AI-Powered Online Grocery Delivery System
Area of research: Computer Applications
Widespread Smartphone Adoption And Ubiquitous High-speed Connectivity Have Collectively Reshaped How Consumers Discover And Purchase Goods, Driving Sustained Migration Toward Digital Retail Channels Across All Product Categories. The Grocery Segment, Long Anchored To In-person Shopping, Is Now Experiencing Accelerating Structural Change As Customers Increasingly Prioritise Doorstep Delivery, Broad Product Assortment, And Faster Fulfilment Over The Traditional In-store Experience. This Paper Presents Grozo, A Production-ready, AI-powered Online Grocery Delivery Platform Built On The MERN (MongoDB, Express.js, React, Node.js) Technology Stack. Grozo Integrates A Suite Of Intelligent Subsystems — Including A Multi-signal Product Recommendation Engine, A Real-time Dynamic Pricing Model, An Inventory Forecasting Module, A Haversine-based Route Optimisation Algorithm, And A Gemini-powered Conversational AI Chatbot — To Deliver A Seamless And Personalised Shopping Experience. The System Supports Over 8,000 Product Listings Sourced From BigBasket, Multi-modal Payment Processing Via Razorpay, Live Order Tracking Through Leaflet.js/OpenStreetMap, A Four-tier Loyalty Rewards Programme, And A Voice-command Interface Built On The Web Speech API. Experimental Evaluation Demonstrates That Grozo Achieves Sub-second API Response Times, A Recommendation Click-through Rate Improvement Of 34% Over Static Listings, And A Dynamic Pricing Engine Accuracy Within 8% Of Market Fluctuations. The Architecture Described Herein Offers A Scalable Blueprint For Next-generation AI-driven Grocery Retail Platforms.
Author: M. Sadhish | V. Udhayakumar
A STUDY ON IMPACT OF HYBRID MODEL ON EMPLOYEE PRODUCTIVITY AND WELLBEING AT FIVES INDIA ENGINEERING AND PROJECT PRIVATE LIMITED
Area of research: Management
The Hybrid Work Model Has Become One Of The Most Significant Workplace Transformations In Recent Years. This Study Examines The Impact Of The Hybrid Work Model On Employee Productivity And Well-being At Fives India Engineering And Projects Private Limited. The Findings Reveal That Hybrid Work Positively Influences Productivity, Flexibility, And Employee Satisfaction While Also Presenting Communication And Coordination Challenges.
Author: Saya Devi | K.J.Aranganathan | Saya Devi
The Study On Inventory Control And Revenue Management Using FIFO &FEFO Practices With Reference To Hindustan Unilever Limited
Area of research: MANAGEMENT STUDIES
The Efficient Management Of Inventory Plays A Vital Role In Improving Operational Performance And Maintaining Smooth Warehouse Activities In Manufacturing And Industrial Organizations. Inventory Management Techniques Such As FIFO (First In First Out) And FEFO (First Expired First Out) Help Organizations Reduce Wastage, Improve Stock Control, And Ensure Timely Availability Of Materials. This Study Focuses On Analysing The Effectiveness Of Inventory Management Practices With Special Reference To Hindustan Unilever Limited. The Research Aims To Examine The Inventory Methods Adopted By The Organization, Evaluate The Efficiency Of Warehouse Operations, And Understand Employee Perception Regarding Inventory Control Systems. Primary Data For The Study Were Collected Through Structured Questionnaires From Employees Working In Warehouse And Inventory-related Departments. Secondary Data Were Collected From Company Reports, Websites, Journals, And Other Relevant Sources. Statistical Tools Such As Percentage Analysis, Descriptive Statistics, And Chi-square Analysis Were Used To Interpret The Collected Data. The Findings Of The Study Indicate That Effective Inventory Management Practices Help Improve Stock Accuracy, Reduce Operational Delays, And Increase Overall Warehouse Efficiency. The Study Also Highlights The Importance Of Adopting Systematic Inventory Control Techniques For Better Organizational Performance And Customer Satisfaction.
Author: ABISHEK I
A Study On Consumer Preferences To Aavin Products
Area of research: Villupuram
Author: JANARTHANAN.T | SUGANTHI
Performance Evaluation Of Cellulose Fiber Engineered Concrete For Structural Applications
Area of research: Civil Engineering
Concrete Is The Most Widely Used Construction Material; However, Its Low Tensile Strength, Brittleness, And Susceptibility To Cracking Limit Its Performance In Structural Applications. The Incorporation Of Natural And Cellulose-based Fibers Offers A Sustainable And Eco-friendly Solution To Improve The Mechanical And Durability Properties Of Concrete. This Study Investigates The Influence Of Various Natural Fibers (cotton, Jute, And Sisal) And Cellulose-derived Fibers (viscose, Tencel, And Cellulose Acetate) On The Performance Of M25 Grade Concrete. Concrete Mixes Were Prepared With Fiber Contents Ranging From 0.1% To 2.0% By Weight Of Cement. The Specimens Were Tested For Compressive Strength, Flexural Strength, Water Absorption, And Ultrasonic Pulse Velocity (UPV) At Different Curing Ages. The Experimental Results Indicated That The Incorporation Of Fibers Significantly Enhanced The Mechanical Performance Of Concrete Up To An Optimum Dosage Of Approximately 1.25%. Beyond This Level, Strength Gradually Decreased Due To Reduced Workability, Fiber Agglomeration, And Increased Porosity. Among All The Fibers Investigated, Tencel Fiber Exhibited The Best Overall Performance, Achieving A Maximum 28-day Compressive Strength Of 37.2 MPa And Flexural Strength Of 7.2 MPa At 1.25% Fiber Content. Sisal And Cellulose Acetate Fibers Also Demonstrated Excellent Performance, With Compressive Strengths Of 36.3 MPa And 36.0 MPa, Respectively. The Addition Of Fibers Improved Crack Resistance, Toughness, And Post-cracking Behavior Of Concrete By Bridging Microcracks And Delaying Crack Propagation. Water Absorption Increased With Increasing Fiber Content Due To The Hydrophilic Nature Of The Fibers; However, The Increase Remained Within Acceptable Limits At Optimum Dosages. UPV Results Confirmed Good Internal Quality And Homogeneity Of The Fiber-reinforced Concrete, With Maximum Values Of Approximately 4.7 Km/s Observed For Tencel, Sisal, And Cellulose Acetate Fiber Mixes. The Study Concludes That Natural And Cellulose-based Fibers Can Be Effectively Utilized As Sustainable Reinforcing Materials In Concrete. Their Incorporation Enhances Mechanical Strength, Crack Resistance, And Durability While Promoting Environmentally Friendly Construction Practices Through The Use Of Renewable And Biodegradable Resources. Among The Fibers Studied, Tencel Fiber Was Found To Be The Most Effective In Improving The Overall Performance Of Concrete.
Author: Mohammad Hamza | Rakesh Sakale | Hirendra Pratap Singh
A Study On Employee Turnover And Absenteeism In Precision Fastener Manufacturing
Area of research: Human Resources
Employee Turnover And Absenteeism Are Among The Most Consequential Challenges Confronting Manufacturing Organisations. High Turnover Elevates Recruitment And Training Expenditures, Depletes Institutional Knowledge, And Disrupts Operational Continuity. Absenteeism Simultaneously Depresses Productivity And Burdens Present Employees. This Study Investigates The Causes And Effects Of Both Phenomena Within A Precision Fastener Manufacturing Plant. Primary Data Were Gathered Through A Structured Questionnaire Administered To 146 Employees From Operator, Quality, Broaching, Oil Cleaning, And Supervisor Departments Using Simple Random Sampling. A Descriptive Research Design Was Employed. Statistical Tools Comprising Percentage Analysis, Chi-square Test, And Pearson's Correlation Were Applied To The Collected Data. Findings Indicate That Poor Working Conditions, Low Salary, And Lack Of Career Growth Are The Predominant Drivers Of Voluntary Turnover, While Heavy Workload And An Unsupportive Work Environment Are The Leading Causes Of Absenteeism. Job Satisfaction Is Critically Low, With Dissatisfaction The Most Frequently Reported Level. Both Hypothesis Tests Accepted The Null Hypotheses, Confirming The Absence Of Statistically Significant Associations At The 5% Level Between The Specific Variable Pairs Examined. The Study Concludes With Practical, Data-driven Recommendations Encompassing Competitive Compensation, Improved Working Conditions, Structured Career Pathways, Employee Recognition, Supervisor Development, And Transparent Absenteeism Management.
Author: Gurunathan M | Pradhap B
A STUDY ON EMPLOYEE RELATIONSHIP MANAGEMENT BETWEEN THE EMPLOYER & EMPLOYEE WITH SPECIAL REFERENCE TO QUESS CORP LTD
Area of research: MANAGEMENT
Employee Relationship Management (ERM) Has Emerged As One Of The Most Vital Aspects Of Human Resource Management In Contemporary Organisations. Effective Management Of Employer-employee Relationships Contributes Significantly To Organisational Productivity, Employee Retention, And Workplace Harmony. This Study Examines The Nature And Effectiveness Of ERM Practices At Quess Corp Ltd., One Of India's Leading Business Services Companies. The Research Evaluates Communication Quality, Employee Engagement, Grievance Handling, Recognition, Training Opportunities, And Career Development Support. Primary Data Were Collected Through A Structured Questionnaire Administered To 110 Employees Across Various Designations. A Descriptive Research Design With Purposive Sampling Was Adopted. Statistical Tools Including Percentage Analysis, Chi-Square Test, And Pearson Correlation Were Applied. The Findings Reveal That A Majority Of Employees Perceive The Organisation Positively In Terms Of Management Support, Teamwork, And Job Satisfaction. However, Improvement Is Needed In Conflict Resolution, Work-life Balance, And Career Growth Support. The Study Concludes With Actionable Recommendations For Strengthening Employee Relationships Within The Organisation.
Author: HARIHARAN J | Suganthi A
A Study On Training And Development Practices In US Recruitment Industry
Area of research: HUMAN RESOURECE
Workforce Capability Development Has Emerged As A Critical Lever For Competitive Advantage In Knowledge-intensive Service Industries. This Paper Investigates Structured Training And Development (T&D) Frameworks Within The US Staffing And Recruitment Sector, With Particular Emphasis On How Systematic Learning Interventions Affect Recruiter Performance, Process Compliance, And Client Satisfaction Outcomes. Using A Descriptive Research Design, Primary Data Were Gathered From Twelve Recruitment Professionals Through Structured Questionnaires And Direct Interaction, Supplemented By Secondary Literature. Quantitative Findings Are Interpreted Through Weighted Average, Correlation, And Simple Regression Analyses. Results Confirm That Practical And Technology-oriented Training Modalities Are Most Favoured, That All Participants Experienced Measurable Gains In Confidence And Process Comprehension Following Structured Programmes, And That A Statistically Meaningful Positive Relationship Exists Between Training Satisfaction And Reported Performance Improvement (r = 0.78). A Regression Coefficient Of 0.85 Further Validates The Predictive Strength Of Training Effectiveness On Performance. The Study Identifies Gaps In Programme Duration And Advanced-tool Coverage, And Concludes With Evidence-based Recommendations For Designing Future-ready T&D Curricula In Offshore US Recruitment Operations.
Author: Mr. Sugisivam S | PRADHAP B
A Study On Financial Statement Analysis Using Common Size Statement With Special Reference To Integra Software Services Pvt. Ltd., Puducherry.
Area of research: BUSINESS ADMINISTRATION
Financial Statement Analysis Is An Essential Tool For Evaluating The Financial Performance, Stability, And Operational Efficiency Of An Organization. The Present Study Focuses On The Financial Statement Analysis Of Integra Software Services Pvt. Ltd., Puducherry, Using Common Size Statements, Ratio Analysis, And Trend Analysis. The Study Aims To Assess The Company's Profitability, Solvency, Operational Efficiency, And Financial Position Over A Period Of Five Years. Secondary Data Were Collected From Audited Financial Statements, Annual Reports, And Company Records. Various Analytical Tools Such As Operating Profit Margin, Earnings Per Share, Trend Analysis, And Common Size Balance Sheet Analysis Were Used To Interpret The Financial Performance Of The Company. The Findings Reveal That The Company Recovered From Earlier Losses And Achieved Positive Reserves In Recent Years. However, Declining Profitability, Increasing Borrowings, And Rising Operational Liabilities Indicate The Need For Effective Financial Management. The Study Concludes That Proper Cost Control, Efficient Resource Utilization, And Strategic Financial Planning Are Necessary For Ensuring Sustainable Growth And Long-term Financial Stability. The Research Concludes That Organizations That Invest In Strengthening Their EVP Are More Likely To Develop A Strong Employer Brand And Maintain A Competitive Advantage In Attracting And Retaining Skilled Employees.
Author: PARTHASARATHI T | GANGALAKSHMI R
A Study On The Factors Contributing To Financial Loss And Strategies For Improving Profitability In Aavin Cooperative Milk Producers Union Ltd., Villupuram
Area of research: BUSINESS ADMINISTRATION
The Dairy Cooperative Sector Plays A Significant Role In Supporting Rural Livelihoods And Ensuring The Supply Of Quality Milk And Milk Products To Consumers. Aavin Cooperative Milk Producers Union Ltd., Villupuram, Is One Of The Leading Dairy Cooperatives In Tamil Nadu. In Recent Years, The Organization Has Experienced Financial Losses Due To Increasing Milk Procurement Costs, Operational Expenses, Government-controlled Pricing Policies, And Limited Subsidy Support. The Present Study Aims To Identify The Major Factors Contributing To Financial Loss And Suggest Effective Strategies For Improving Profitability. The Study Adopted Descriptive And Analytical Research Designs. Primary Data Were Collected From 45 Employees Through A Structured Questionnaire, And Secondary Data Were Collected From Financial Statements, Annual Reports, And Company Records. Statistical Tools Such As Percentage Analysis, Comparative Analysis, Trend Analysis, And Ratio Analysis Were Used For Interpretation. The Findings Reveal That High Procurement Cost, Government Price Control, Lack Of Subsidy Support, Inadequate Expense Monitoring, And Insufficient Employee Training Significantly Affect Profitability. The Study Concludes That Effective Cost Control, Improved Inventory Management, Increased Focus On Value-added Products, And Operational Efficiency Can Improve The Financial Performance Of The Organization.
Author: MANIKANDAN S | GANGALAKSHMI R
EXAMINE THE RELATIONSHIP OF EMOTIONAL INTELLIGENCE ON EMPLOYEE PRODUCTIVITY: A JOB SATISFACTION AS A MEDIATED FRAMEWORK
Area of research: Human Resorces
Understanding The Psychological Determinants Of Workforce Performance Has Become Increasingly Critical In Today's Competitive Organisational Landscape. This Study Examines The Relationship Of Emotional Intelligence On Employee Productivity, Incorporating Job Satisfaction As A Mediating Framework. A Structured Questionnaire Was Administered To 160 Employees Across Seven Functional Departments. The Instrument Measured Six Dimensions Of Emotional Intelligence Self-awareness, Self-regulation, Self-motivation, Empathy, Social Skills, And Adaptability Along With Ten Indicators Of Job Satisfaction And Eleven Parameters Of Employee Productivity, Using A Five-point Likert Scale. Statistical Tools Employed Include Percentage Analysis, Chi-Square Test, And Correlation. Chi-Square Test Results Confirmed Significant Associations Between Emotional Intelligence And Employee Productivity (p = .012), Emotional Intelligence And Job Satisfaction (p = .006), And Job Satisfaction And Employee Productivity (p = .021). Correlation Revealed Moderate Positive Relationships: Emotional Intelligence And Employee Productivity (r = .412), Emotional Intelligence And Job Satisfaction (r = .387), And Job Satisfaction And Employee Productivity (r = .356). The Findings Confirm That Emotionally Competent Employees Tend To Be More Satisfied With Their Work And Consequently More Productive. Practical Recommendations Are Drawn For Organisations Seeking To Improve Workforce Performance Through Emotional Competency Development And Job Satisfaction Enhancement.
Author: KEERTHIVASAN A | Prof. N. INDUMATHI
TRUTHLENS: AI-POWERED DEEPFAKE DETECTION USING DEEP LEARNING AND MEDIA FEATURE ANALYSIS
Area of research: Computer Applications
The Rapid Advancement Of Artificial Intelligence Has Made It Possible To Generate Highly Convincing Manipulated Media, Commonly Referred To As Deepfakes. These Synthetic Videos And Audio Recordings Pose A Serious Threat To Information Integrity, Personal Reputation, And Public Trust. TruthLens Is An AI-powered Deepfake Detection System Developed To Help Users Verify The Authenticity Of Uploaded Video And Audio Files. The System Is Built Using A MERN Stack Web Application Integrated With A Python Flask Backend Responsible For Running Deep Learning Inference. For Video Analysis, The System Employs MTCNN For Face Detection And A Transformer-based Deepfake Classification Model To Analyse Sampled Frames. Audio Analysis Uses Spectral Feature Extraction Techniques To Identify Patterns Associated With Synthetic Speech. Experimental Results Show That The System Accurately Classifies Media As Real Or Fake With A Meaningful Confidence Score. This Work Demonstrates How Machine Learning And Neural Network Techniques Can Be Deployed In Full-stack Applications To Address The Growing Challenge Of Digital Misinformation.
Author: Dr.T. Amalraj Victoire | Aakila Nifaha A H
BUSINESS INTELLIGENCE: A WEB-BASED BUSINESS INTELLIGENCE SYSTEM FOR REAL-TIME RETAIL ANALYTICS, DEMAND FORECASTING, AND RISK MANAGEMENT
Area of research: Computer Applications
Small And Medium Retail Businesses Frequently Face Operational Difficulties Related To Inventory Management, Stock Monitoring, Demand Estimation, And Financial Reporting. Most Shop Owners Rely On Manual Records Or Entry-level Billing Software That Can Generate Invoices But Offer No Analytical Insight Into Business Performance. BI-Mart Is Proposed As A Web-based Business Intelligence Platform Developed To Address These Challenges. The System Is Built Using React.js For The Frontend, PHP REST APIs For Backend Services, And MySQL For Data Storage. It Incorporates Over Twenty Functional Modules Including A Performance Dashboard, Demand Forecasting, Risk Alert Generation, Expiry Tracking, GST Report Automation, And Customer Segmentation. The Demand Forecasting Module Processes The Past Ninety Days Of Sales Records And Applies A Day-of-week Multiplier To Estimate Product Demand For The Coming Thirteen Weeks. A Risk Scoring Mechanism Evaluates Stock Levels, Expiry Timelines, And Profit Margins To Classify Products Into Risk Categories. Results Confirm That BI-Mart Provides Small Retailers With Clear And Actionable Business Insights To Support Efficient And Informed Decision-making.
Author: Dr.T. Amalraj Victoire | Srinivasan S
A Study On Asset Liability Management In Chengalrayan Co-operative Sugar Mill
Area of research: Finance
The Project Report Was Related To “A Study On Asset Liability Management With Special Reference To Chengalrayan Co-Operative Sugar Mills Ltd.” The First Chapter Explains The Concepts Of Asset Liability Management, Industry Profile, Company Profile, Company Products, Objectives, Scope, Need, And Limitations Of The Study. The Second Chapter Presents The Review Of Literature Related To Asset Liability Management And Financial Performance. The Third Chapter Covers Research Methodology, Data Collection, Research Design, And Financial Tools Used For The Study. The Fourth Chapter Deals With Data Analysis And Interpretation Using Ratio Analysis, Comparative Balance Sheet, And Common Size Balance Sheet To Evaluate The Financial Position Of The Company. The Findings Revealed The Company's Liquidity Position, Working Capital Efficiency, Asset Utilization, And Debt Management Practices. The Findings, Suggestions, And Conclusion Of The Study Are Presented In The Final Chapter.
Author: Kavitha A | N.indumathin
Food Vision: AI- Based Food Detection And Calorie Estimation Using YOLOv8
Area of research: Computer Engineering
The Growing Interest In Healthy Eating And Nutritional Tracking Has Led To A Need For Smart Systems That Can Automatically Identify Food Items And Estimate Their Calorie Content. Traditional Calorie Tracking Apps Rely Heavily On Manual User Input, Which Can Be Inaccurate And Time-consuming. To Address These Issues, Food-vision Is Introduced As An AI-based Food Detection And Calorie Estimation Platform That Uses Advanced Deep Learning Techniques. The System Uses The YOLOv8 Object Detection Model To Identify Multiple Indian Food Items From Uploaded Images And Estimate Calorie Values From A Structured Nutritional Database. Unlike Standard Image Classification Systems That Can Only Recognize One Food Item At A Time, This Solution Detects Multiple Food Categories Simultaneously, Including Biryani, Dosa, Idli, Rice, Roti, Dal, Chloe, , Jalebi, Shahi Paneer, Palak Paneer, Pooh, And Samosa. The System Runs Through A Flask-based Web Application That Lets Users Upload Food Images And Get Instant Detection Results Along With Calorie Information. A Custom Annotated Dataset Of Thousands Of Food Images Was Created For Training And Validation. The YOLOv8 Architecture Delivers High Detection Accuracy While Ensuring Efficient Processing Speed. Experimental Results Show That This Approach Effectively Combines Computer Vision, Deep Learning, And Nutritional Analysis To Support Users In Dietary Monitoring And Health Management.
Author: Sanchita Gadkari | Vaishnavi Khedkar | Sayali Ahire | Vanita Thite | Prof.Vikram Chavan
A Study On Human Resource Practices And Its Impact On Employee Performance At Network Diesel Sales And Service Company Pvt. Ltd.
Area of research: MBA
Human Resource (HR) Practices Play A Decisive Role In Shaping Employee Performance And Organisational Success. This Study Examines The Influence Of HR Practices – Encompassing Recruitment And Selection, Training And Development, Performance Appraisal, Compensation, Motivation, And Work Environment – On The Performance Of Employees At Network Diesel Sales And Service Company Pvt. Ltd. (NDSS), Puducherry. A Descriptive Research Design Was Adopted, And Data Were Collected From 100 Respondents Through A Structured Questionnaire. Statistical Tools Including Percentage Analysis, Chi-square Test, Pearson Correlation, And The Weighted Average Method Were Employed For Analysis. The Results Reveal A Significant Positive Correlation (r = 0.633, P = 0.043) Between HR Practices And Employee Performance. The Weighted Average Score Of 3.98 Indicates An Overall Positive Employee Perception Of HR Practices. Findings Highlight That Training, Work Environment, And Recruitment Fairness Receive The Highest Positive Ratings, While Performance Appraisal Transparency And Career Development Opportunities Require Improvement. The Study Concludes That Effective HR Practices Are Essential For Improving Employee Motivation, Productivity, And Overall Organisational Performance.
Author: Padmavathi R | Suganthi A
A Study On Internal Customer Satisfaction Of L&T Formwork Shop In Supplying Construction Materials To L&T Construction
Area of research: Marketing Management
This Study Aims To Analyze The Level Of Internal Customer Satisfaction Among L&T Construction Employees Regarding The Services Provided By The Formwork Shop. Data Were Collected From 120 Respondents And Analyzed Using Percentage Analysis, Chi‑Square Test, And Correlation Analysis.
Author: Sivaranjani
A Study On Customer Preference Towards Gold Loan With Special Reference To Shri Shanthinath Nidhi Limited
Area of research: Marketing
Author: K SENTHAMARAI | Suganthi A
ONLINE EVENT MANAGEMENT SYSTEM
Area of research: Computer Science And Engineering
The Online Event Management System Is A Web-based Application Developed To Automate And Simplify The Process Of Managing Events In Educational Institutions. Traditional Event Management Methods Using Notices, Spreadsheets, And Manual Communication Often Lead To Scheduling Conflicts, Poor Coordination, And Inefficient Record Maintenance. The Proposed System Provides A Centralized Platform Where Admins, Staff, Approvers, And Students Can Manage Event-related Activities Efficiently. The System Supports Functionalities Such As Event Creation, Approval Workflow, Participant Registration, QR Code-based Attendance Tracking, Feedback Collection, And Automatic Certificate Generation. The Application Is Developed Using Flutter For Frontend Development And REST APIs With MySQL Database Integration For Backend Processing And Secure Data Management. The System Improves Communication, Reduces Manual Workload, Enhances Data Accuracy, And Provides A Scalable Solution For Modern Event Management In Educational Institutions.
Author: Muthu Raja
THE STUDY A STUDY ON RECRUITMENT EFFECTIVENESS, EMPLOYEE PERFORMANCE & PRODUCTIVITY
Area of research: MBA
Recruitment Effectiveness Plays A Vital Role In Improving Employee Performance And Organizational Productivity In Modern Business Organizations. Effective Recruitment And Selection Practices Help Organizations Attract Qualified And Skilled Employees Who Contribute To Operational Efficiency, Quality Improvement, And Achievement Of Organizational Goals. Recruitment Practices Such As Proper Job Analysis, Employee Selection, Interviews, And Training Support Organizations In Maintaining A Productive Workforce And Improving Overall Organizational Performance. This Study Focuses On Analyzing The Effectiveness Of Recruitment Practices. The Research Aims To Examine The Recruitment And Selection Practices Adopted By The Organization, Evaluate Their Impact On Employee Performance, And Understand Employee Perception Regarding Productivity And Work Efficiency. Primary Data For The Study Were Collected Through Structured Questionnaires From Employees Working In Different Departments Of The Organization. Secondary Data Were Collected From Company Reports, Websites, Journals, And Other Relevant Sources. Statistical Tools Such As Percentage Analysis, Descriptive Statistics, Correlation, And Chi-square Analysis Were Used To Interpret The Collected Data. The Findings Of The Study Indicate That Effective Recruitment Practices Improve Employee Performance, Reduce Operational Errors, Increase Productivity, And Enhance Organizational Efficiency. The Study Also Highlights The Importance Of Training, Teamwork, Employee Motivation, And Performance Evaluation Systems In Achieving Better Organizational Performance And Employee Satisfaction.
Author: VENKATESH M | K.J.Aranganathan
Gold Loan Priority In Loan Portfolio: A Comparative Study At Manappuram Finance Limited
Area of research: MBA
The Gold Loan Segment Has Emerged As One Of The Most Significant And Rapidly Growing Components Of The Non-Banking Financial Company (NBFC) Sector In India. This Study Examines The Priority Given To Gold Loans Within The Overall Loan Portfolio Of Manappuram Finance Ltd., One Of India's Leading Gold Loan NBFCs Headquartered In Kerala. The Research Aims To Evaluate Customer Preferences, Satisfaction Levels, Processing Efficiency, Interest Rate Perceptions, And The Overall Contribution Of Gold Loans To Manappuram's Lending Portfolio In Comparison With Other Loan Products. Primary Data Were Collected Through A Structured Questionnaire From 117 Respondents Comprising Customers And Employees Associated With Gold Loan Services At Manappuram Finance Ltd. Statistical Tools Such As Percentage Analysis, Chi-square Test, And Pearson Correlation Were Applied To Analyse The Data. The Study Finds That The Majority Of Customers Prefer Gold Loans Due To Quick Processing, Minimal Documentation, And Easy Availability. The Findings Indicate That Gold Loans Hold A Dominant And Strategic Position In Manappuram's Loan Portfolio, And Customer Satisfaction With Gold Loan Services Is Considerably High. Recommendations Are Provided For Further Strengthening The Gold Loan Business And Expanding The Customer Base
Author: Mr. D. MANICKARAJ | Mr. K. J. ARANGANATHAN
"A Study On Recruitment And Selection Process In The Banking Sector With Special Reference To QUESS CORP LTD
Area of research: IT
This Study Examines The Recruitment And Selection Process In The Banking Sector With Special Reference To Quess Corp Limited, A Leading Workforce Management Company In India. The Study Analyses The Effectiveness Of Existing Recruitment Practices, Identifies Key Strengths And Challenges In The Hiring Process, And Evaluates Their Impact On Organizational Performance. Using A Structured Questionnaire Administered To 108 Respondents Across Departments — Banking, Payroll, Recruitment, And Staffing — The Study Employs Percentage Analysis, Chi-Square Test, And Pearson's Correlation Coefficient As Statistical Tools. Findings Indicate That Recruitment Efficiency (74%), Communication Effectiveness (77%), And Timeliness (70%) Are Strong Areas, While Talent Attraction (53%) And Selection Accuracy (59%) Require Improvement. The Study Recommends Adopting AI-powered Applicant Tracking Systems, Structured Competency-based Interviews, And Diversified Sourcing Channels To Enhance Recruitment Effectiveness.
Author: YUDESH T | SUGANTHI A
A Study On The Impact Of Employee Value Proposition On Employer Branding
Area of research: Human Resource
In Today's Competitive Business Environment, Organizations Are Increasingly Focusing On Creating A Positive Work Experience To Attract And Retain Talented Employees. Employee Value Proposition (EVP) Represents The Overall Value And Benefits That Employee Receive In Exchange For Their Contributions To An Organization. It Includes Elements Such As Compensation, Career Development Opportunities, Recognition, Work-life Balance, And Organizational Culture. A Strong EVP Not Only Enhances Employee Satisfaction But Also Contributes Significantly To Building A Positive Employer Image. The Present Study Examines The Impact Of Employee Value Proposition On Employer Branding. The Research Was Conducted Using A Descriptive Research Design And Data Were Collected From Employees Through A Structured Questionnaire. Various Statistical Tools Such As Percentage Analysis, Weighted Average Analysis, Correlation, And Regression Analysis Were Used To Interpret The Collected Data. The Findings Indicate That Employees Place Considerable Importance On Career Growth, Recognition, Fair Compensation, And A Supportive Work Environment. The Study Further Reveals That An Effective EVP Positively Influences Employer Branding By Improving Employee Engagement, Commitment, And Retention. The Research Concludes That Organizations That Invest In Strengthening Their EVP Are More Likely To Develop A Strong Employer Brand And Maintain A Competitive Advantage In Attracting And Retaining Skilled Employees.
Author: Ms. B. Meena | Mrs. R. Gangalakshmi
A Study On Recruitment, Onboarding, And Performance Management Practices In An Organization
Area of research: Human Resources
Recruitment, Onboarding, And Performance Management Are Three Interconnected And Critical Functions Of Human Resource Management (HRM) That Collectively Determine The Quality Of An Organization's Workforce And Its Overall Effectiveness. In The Rapidly Evolving Information Technology (IT) Sector, Where Talent Acquisition And Retention Are Central To Sustaining Competitive Advantage, These HR Functions Assume Greater Strategic Importance. This Study Examines The Effectiveness Of Recruitment, Onboarding, And Performance Management Practices In An IT Organization And Evaluates Employee Perceptions Regarding Each Of These HR Functions. A Descriptive Research Design Was Adopted. Primary Data Were Collected From 108 Respondents Through A Structured Questionnaire. Statistical Tools Including Percentage Analysis, Chi-Square Test, And Pearson Correlation Analysis Were Used. The Findings Indicate That The Organization Has Established Strong Foundations In All Three HR Functional Areas. The Study Concludes With Recommendations To Strengthen Transparency, Structural Consistency, And Continuous Feedback Mechanisms.
Author: LOKESH K | Pradhap.b
A Study Of Mental Health Among Government And Non-Government Secondary School Teachers.
Area of research: Department Of Psychology
The Purpose Of The Present Study Was To Compare The Mental Health Of Government And Non-government Secondary Teachers In The Chhatrapati Sambhaji Nagar District. In The Present Study The Data Was Collected From Government And Non-government School Teacher. For The Present Investigation, The Revised Employees Mental Health Inventory, Consisting Of 24 Items, Developed By Dr. Jaddish, Was Used As The Main Tool For Data Collection. The Sample Included 60 Secondary School Teachers, Of Whom 30 Were Government Teachers And 30 Were Non-government Teachers. Respondents Were Selected Using A Random Sampling Method. The Descriptive Survey Method Was Used In This Study. Statistical Techniques Such As Mean, Standard Deviation, And T-test Were Applied To Analyze The Collected Data. The Results Of The Present Study Showed A Significant Difference In Mental Health Between Government And Non-government Secondary School Teachers. Government Teachers Were Found To Have Better Mental Health Scores Than Non-government Teachers. The Study Concluded That Factors Other Than Non-government Teachers. The Study Concludes That Factors Such As Job Security, Supportive Work Environment, And Institutional Stability Strongly Influence Teachers´ Mental Health.
Author: Mailare Sachinkumar Sopanrao
Cryptographic Requirements Of Verifiable Credentials For Digital Identification Documents.
Area of research: Computer Applications
Digital Identity Verification Is A Critical Requirement In Modern E-governance And Passport Management Systems. Traditional Passport Verification Methods Suffer From Manual Delays, Identity Fraud, And Unauthorized Access Vulnerabilities. This Paper Presents A Secure, Multi-layer Digital Identity Verification System That Integrates Aadhaar QR Code Scanning, One Time Password (OTP) Authentication, And FaceNet-based Facial Recognition To Ensure Tamper-resistant Passport Verification. The System Is Built Using The Spring Boot Framework For Backend Processing, MySQL For Database Management, And Python For FaceNet-based Facial Comparison. The Proposed Approach Significantly Reduces Fake Identity Submissions, Minimizes Manual Intervention, And Improves Authentication Accuracy. Experimental Results Demonstrate That All Core Modules — Including QR Verification, OTP Validation, And Face Matching — Achieved 100% Pass Rates In Functional Testing. The System Represents A Scalable, Secure Framework Suitable For E-governance And National Identity Management Applications.
Author: TharunKumaar K
Recruitment Challenges And Effectiveness In IT Project - Based Hiring With Special Reference To TVM Infotech Private Limited
Area of research: Human Resources Management
Recruitment Plays A Vital Role In Ensuring That Organizations Acquire Competent Employees Capable Of Meeting Business Objectives. In The Information Technology (IT) Industry, Project-based Hiring Has Become Increasingly Important Due To The Dynamic Nature Of Client Requirements, Technological Advancements, And Project Deadlines. Organizations Face Several Challenges In Identifying, Attracting, And Selecting Candidates Who Possess The Required Technical Skills, Experience, Adaptability, And Project Readiness. This Study Focuses On Analyzing The Recruitment Challenges And Effectiveness Of IT Project-based Hiring At TVM Infotech Private Limited. The Objectives Of The Study Are To Identify The Major Challenges Faced During Recruitment, Evaluate The Effectiveness Of Hiring Practices, Examine Candidate Selection Methods, And Assess The Contribution Of Recruitment Strategies Toward Project Success. The Study Also Investigates Employee Perceptions Regarding Recruitment Processes And Their Impact On Workforce Quality. A Descriptive Research Design Was Adopted For The Study. Primary Data Were Collected From 100 Employees Through A Structured Questionnaire, While Secondary Data Were Gathered From Journals, Books, Company Records, Websites, And Previous Research Studies. Statistical Tools Such As Percentage Analysis, Chi-Square Test, And Correlation Analysis Were Used For Data Analysis And Interpretation. The Findings Reveal That Skill Shortages, Competition For Talent, Time Constraints, And Candidate Retention Are Major Recruitment Challenges In Project-based Hiring. However, Effective Recruitment Planning, Structured Selection Procedures, Technical Assessments, And Employee Referral Programs Significantly Improve Hiring Outcomes. The Study Concludes That An Efficient Recruitment Process Contributes To Project Success, Employee Performance, And Organizational Growth.
Author: Ms.E. Jemimah Cynthiya
Implementation Of Low Power NAND-Based Arithmetic Circuits Using CMOS Technology With SAPON Technique
Area of research: ECE
In The Ultra Large Scale Integration (ULSI) Field, With Widespread Growing Demand For Portable And Battery-operated Electronic Devices, Power Consumption Has Become A Major Concern. Common Arithmetic Circuits Are Adders And Subtractors Which Are Important Components Of Digital Systems And Form A Significant Part Of The Total Power Dissipation Of The Circuit. Traditional CMOS Realization Of These Circuits Consumes Excessively Large Number Of Transistors, Leading To High Power Consumption, Long Propagation Delay And Silicon Silicon Area. To Solve These Problems, In This Paper, Low-power NAND-based Arithmetic Circuits Have Been Developed By 45nm CMOS Technology And Combined With The Idea Of SAPON (Self-Adaptive Power Optimization Network). To Reduce The Complexity Of The Hardware, Half Adder, Full Adder And Full Subtractor Circuits Are Achieved By Using NAND-gate-based Architectures As A Universal Logic Gate. The Technique Called 'SAPON' (sequential Active Only Power Optimum) Is Used To Optimize Switching Activity And Thus Also The Power Consumption With Correct Logical Function. The Proposed Circuits Are Designed And Simulated In Cadence Virtuoso Tool, Keeping Technology 45nm CMOS, And Performance Analysis Is Performed Based On Three Metric Parameters Of The Circuits Namely, The Number Of MOS Transistors, Power Dissipation And Propagation Delay. Through Simulation, It Has Been Found That The Arithmetic Circuits Proposed To Use SAPON Achieves Significant Power Saving With Respect To Conventional CMOS Circuits While Maintaining The Same Delay. Hence, The Proposed Approach Will Be Suitable For Low Power VLSI Applications, Portable Electronics And The Low Power Digital System Applications.
Author: K.J.Poornima | Gogula Chandana
Design And Fabrication Of Pedal Operated Groundnut Shelling Machine
Area of research: Agricultural Engineering
Groundnut Shelling Is An Essential Post-harvest Operation That Converts Dried Pods Into Marketable Kernels, But Small Farmers Commonly Depend On Hand Shelling Or Costly Powered Machines. This Study Presents The Design, Fabrication, Structural Validation And Experimental Evaluation Of A Revised Pedal-operated Groundnut Shelling Machine Developed As A Low-cost Intermediate Technology For Rural And Small-scale Users. The Machine Consists Of A Hopper-fed Rotary Drum, Stationary Perforated Concave, Chain-and-sprocket Transmission, 25 Mm Main Shaft, Welded Mild-steel Frame, Pedal Crank, Fan-assisted Separation Unit And Collection Arrangement. Human Power Is Transmitted Through The Pedal Crank To The Shelling Shaft; The Drum-concave Pair Cracks Pods By Rubbing And Compression, While The Outlet And Fan Arrangement Separate Lighter Shells From Heavier Kernels. Design Calculations Were Performed For Pedal Torque, Power, Chain Drive Ratio, Shaft Stress And Drum Peripheral Speed. Structural Safety Was Verified Through Finite-element/static Simulation Of The Frame, Shaft, Shelling Drum, Pedal Crank, Bearing Bracket And Complete Assembly. The Maximum Equivalent Stress In The Full Assembly Was 93.6 MPa, Which Is Below The 250 MPa Yield Reference, And The Corresponding Factor Of Safety Was 2.67. Experimental Trials For 1-10 Kg Batches Showed Shelling Efficiency Between 89.2% And 91.3%, Cleaning Efficiency Between 84.5% And 86.2%, And Mechanical Damage Between 4.3% And 5.4%. The Results Confirm That The Pedal-operated Configuration Can Reduce Drudgery, Avoid Electricity Dependence And Deliver Acceptable Shelling Performance When Speed, Feed Rate And Concave Clearance Are Controlled.
Author: Nayan Sandeep Bora1 | Ajaykumar Ugale
An Intelligent Multi-Modal Interview Simulation System Using Large Language Models, Automatic Speech Recognition, And Neural Text-to-Speech Synthesis
Area of research: Computer Engineering
Preparing For Technical Employment Interviews Is A High-stakes Endeavor That Demands Both Domain Expertise And Practiced Verbal Communication. Conventional Preparation Strategies—textbook Study, Static Question Banks, And Peer Mock Sessions—suffer From Well-documented Limitations: They Are Non-personalised, Require Scheduling Coordination, And Provide No Systematic Feedback On Performance. This Paper Presents The AI Interview Assistant (AIIA), A Full-stack, Multi-modal Web Platform That Automates The Entire Interview Simulation Life-cycle. AIIA Integrates Three Distinct AI Services: (1) Google Gemini, A Large Language Model (LLM) Responsible For Context-aware Question Generation, Adaptive Conversational Follow-up, Code Evaluation, And Structured Feedback Synthesis; (2) Assem-blyAI Universal-2, A State-of-the-art Automatic Speech Recognition (ASR) Engine For Real-time Candidate Voice Transcription; And (3) Murf AI FALCON, A Neural Text-to-speech (TTS) Synthesiser That Voices The AI Interviewer Natalie. The System Supports Eight Technical Roles, Three Difficulty Tiers, And Three Code Chal-lenge Formats—write, Fix, And Explain—across Four Program-ming Languages. Interview Sessions Are Stored In A MongoDB Document Database, Enabling Longitudinal Progress Tracking. A Five-category, LLM-generated Feedback Report Is Delivered Upon Session Completion. Empirical Observations Demonstrate That The Five-prompt LLM Orchestration Architecture Produces Contextually Coherent Question Sets And Qualitatively Discrimi-native Performance Assessments. The AIIA System Establishes A Replicable Architectural Template For Deploying Conversational AI Agents In High-stakes Educational Assessment Contexts.
Author: Manohar Chaudhari | Atharv Kulkarni | Siddhedh Shelar | Sanika Dhanve | Sanmesh Satpute
PermissionShield: A Hybrid Static And Dynamic Analysis Approach For Android Permission Misuse Detection
Area of research: CSE
The Rapid Growth Of Android Applications Has Increased Concerns Regarding Excessive And Unjustified Permission Usage, Which Can Lead To Privacy Breaches, Data Leakage, And Unauthorized Access To Sensitive Resources. Existing Android Security Solutions Often Rely Solely On Static Or Dynamic Analysis, Which Limits Their Accuracy And Fails To Provide Comprehensive Insights Into Real-world Permission Misuse. To Address These Limitations, This Work Proposes PermissionShield, A Hybrid Static–dynamic And Forensic Analysis Framework Designed To Detect, Predict, And Visualize Suspicious Permission Behaviors In Android Applications. The System Integrates Multi-stage Analysis, Beginning With Static Extraction Of Declared Permissions, Followed By Dynamic Evaluation Of Runtime Behavior To Identify Inconsistencies Between Requested And Actual Usage. A Machine Learning–based Prediction Model Further Enhances Detection Accuracy By Classifying Potentially Malicious Permission Patterns Using Historical Datasets And Feature Encoding. The Framework Also Incorporates A Feature-extraction Engine To Quantify Risk Levels And Generates Detailed Forensic Reports Along With Severity Visualizations To Assist Developers, Analysts, And End Users In Understanding The Threat Landscape. Experimental Results Demonstrate That PermissionShield Effectively Identifies High-risk Permissions, Reduces False Positives, And Provides A Scalable And Interpretable Solution For Android Permission Misuse Detection. This Research Contributes Toward Strengthening Mobile Security, Improving Transparency In Permission Handling, And Enabling Proactive Protection Of User Privacy.
Author: Dr. Shubhangi Patil | Prof. Shreyas Shinde | Shreyas Kadam | Kishor Khandagle | Shivam Shinde , Jayraj Yadav
Static Timing Analysis–Aware RTL Design Of A Simple RISC Processor Using Verilog HDL
Area of research: Electronics And Telecommunication Engineering
As The Demands For Higher Clock Frequencies In Modern VLSI Systems Continue To Rise, Achieving Timing Closure Has Become A Significant Hurdle In Digital Design. Many RTL Designs Struggle To Meet Setup And Hold Time Requirements After Synthesis, Often Because Timing Constraints Weren't Adequately Considered In The Early Stages Of Design. This Paper Introduces The Design And Implementation Of A Straightforward RISC Processor Using Verilog HDL, Employing A Timing-aware RTL Methodology. The Architecture Of The Processor Features A Program Counter, Instruction Memory, Register File, Arithmetic Logic Unit (ALU), Control Unit, And Data Memory. We Conduct Static Timing Analysis (STA) Using Xilinx Vivado To Assess Critical Path Delay, Worst Negative Slack (WNS), And Maximum Operating Frequency. Initially, We Analyze A Baseline Design To Pinpoint Timing Violations, Followed By Restructuring The RTL And Applying Optimization Techniques Like Logic Balancing And Inserting Pipeline Registers. The Experimental Results Show A Notable Reduction In Critical Path Delay And An Increase In The Maximum Achievable Clock Frequency, Confirming The Benefits Of Integrating Timing Awareness Into The RTL Design Process. This Proposed Method Enhances Timing Reliability While Minimizing The Number Of Design Iterations Needed After Synthesis.
Author: Prathamesh Pakhale | Rahul Ingale
Disaster Relief: A Unified Multi-Stakeholder PWA-Based Emergency Response System With Real-Time Coordination And Report History
Area of research: Information Technology
Effective Disaster Management Requires Rapid, Coordinated Communication Among Citizens, Relief Organisations, And Administrative Authorities. Existing Systems Are Fragmented, Lack Real-time Geographic Awareness, And Fail To Provide Emergency Navigation Assistance To Affected Individuals. This Paper Presents DisasterAlert, A Progressive Web Application (PWA) Built On A Fully Serverless Amazon Web Services (AWS) Architecture, Designed To Address These Critical Deficiencies. The System Implements Role-based Access Control Via Amazon Cognito, Supporting Three User Roles: Citizen, NGO, And Administrator. A Real-time Disaster Map Powered By Leaflet.js And OpenStreetMap Visualises Geotagged Incident Reports Submitted By Citizens. An Emergency Navigation Module Integrates The OpenStreetMap Overpass API For Hospital Discovery And The Open Source Routing Machine (OSRM) For Turn-by-turn Navigation, Enabling Citizens In Disaster Zones To Locate And Route To The Nearest Medical Facility. The Backend Comprises AWS Lambda Functions, Amazon API Gateway, And Amazon DynamoDB, Deployed Via Amazon S3 And Amazon CloudFront. The System Was Fully Developed And Deployed Within A Seven-day Period. Evaluation Results Confirm All Functional Requirements Are Satisfied, With Lighthouse Audit Scores Exceeding 87/100 And Zero Operational Cost Under AWS Free Tier. DisasterAlert Demonstrates The Viability Of Rapid, Cost-effective, Cloud-native Disaster Management Solutions.
Author: Prof. Vandana Tonde | Sneha Shetfale | Abhijeet Pandit | Samiksha Jadhav | Ashwini Pahune
Food Safety Standards And Prevention Of Food Contamination
Area of research: Computer Engineering
Food Safety Is An Important Element In Public Health, Economic Stability, And Sustainable Development Since Foodborne Disease Continues To Affect Humans Around The World. Estimates Show That Almost 600 Million Individuals Contract Foodborne Diseases Every Year, Resulting In Substantial Death, Medical Expenses, And Reduced Efficiency. Rapid Globalization Of Food Supply Chains, Urbanization, And Changing Consumer Behaviors Have Made Food Safety An Even More Challenging Task To Accomplish Due To High Risks Of Contamination Throughout The Food Chain. The Current Research Paper Contains A Thorough Review Of Food Safety Standards And Measures Implemented To Reduce The Possibility Of Contamination Of Food From Its Initial Stage Until It Reaches Consumers. Specifically, The Study Analyzes The Most Common Forms Of Contamination, Biological, Chemical, And Physical Ones, Along With The Factors Contributing To Food Contamination And Food Safety Issues. Hygiene And Food Safety Management Failures Are Among These Factors, Along With Cross-contamination, Poor Food Handling Practices, And Inappropriate Storage Conditions. Environmental Factors, Such As Contaminated Soils, Can Also Be Considered To Be Among Food Safety Hazards Indirectly. This Paper Also Reviews Some Important Food Safety Approaches Nationally And Internationally, Which Include HACCP (Hazard Analysis And Critical Control Points), ISO 22000, Codex Alimentarius, And Regulations Set Forth By The Regulatory Agencies. The Focus Of These Frameworks Is To Adopt A Preventive And Risk-based Approach For Managing Food Safety In Identifying Food Hazards At Critical Control Points And Taking Action Against Them. Nevertheless, Even With The Presence Of Such Structured Frameworks, There Is Inconsistency In Applying These Methods On The Ground, Especially In Underdeveloped Areas And Unorganized Food Sector. This Research Applies A Mixed Methodology Involving Extensive Literature Search, Process Mapping Of Food Safety Practices, And Theoretical Models To Understand The Pathway Of Contamination And Means Of Controlling It. Moreover, A Descriptive Survey Is Included In This Study To Explore The Level Of Awareness, Attitude, And Behavior Of Consumers Regarding Food Safety Practices. It Is Evident From The Results Obtained Through The Research That Some Level Of Awareness About Food Safety Practices Is Present Among People, But There Is Still A Substantial Gap Between Awareness And Practice. The Paper Finds That For Effective Food Safety Management, It Is Imperative To Adopt A Holistic And Multidisciplinary Strategy That Encompasses Stringent Regulation, Constant Training, Incorporation Of Sophisticated Technology Such As Internet Of Things (IoT) Systems, And Engagement Of All Parties Concerned Such As Governments, Food Industries, And Consumers. This Would Greatly Minimize The Likelihood Of Food Contamination Incidences And Enhance Public Health Impacts.
Author: Dnyanesh Paygude | Atharv Jagtap | Rutuja Gadge | Sachin Dhavale
QPGS: AN INTELLIGENT, OFFLINE-CAPABLE WEB-BASED QUESTION PAPER GENERATION SYSTEM FOR OUTCOME-BASED EDUCATION IN HIGHER EDUCATIONAL INSTITUTIONS
Area of research: Information Technology
The Manual Preparation Of Examination Question Papers In Higher Educational Institutions Is A Labor-intensive, Error-prone, And Time-consuming Activity. Faculty Members Often Spend Between Two And Four Hours Assembling A Single Question Paper, Ensuring Appropriate Difficulty Distribution, Compliance With Examination Templates, And Alignment With Course Outcomes Defined Under Outcome-Based Education (OBE) Frameworks. This Paper Presents QPGS—a Question Paper Generation System—a Cloud-native, Offline-capable, And Role-based Web Application Designed To Automate And Streamline Examination Paper Creation For Institutions Affiliated With The Savitribai Phule Pune University (SPPU) Pattern. The System Employs A React 19-based Single-page Application (SPA) With Firebase Firestore As A NoSQL Backend, Firebase Authentication For Secure Role-based Access, And An IndexedDB-based Offline Queue For Uninterrupted Operation In Low-connectivity Environments. At The Core Of Paper Generation Lies A Configurable OR-group Template Engine Combined With The Fisher-Yates Shuffle Algorithm, Ensuring Randomized Yet Difficulty-balanced Question Selection. Additionally, QPGS Integrates An AI-powered Question Generation Pipeline Capable Of Extracting Syllabus Content From Uploaded PDF And DOCX Files And Generating Pedagogically Appropriate Questions. Evaluation Of The System In A Pilot Institutional Setting Demonstrated An 80% Reduction In Paper Preparation Time, With Successful Generation Of Well-balanced Papers In Under Two Minutes. The System's Approval Workflow, LaTeX Rendering Support, And Analytics Dashboard Further Contribute To Its Academic Value. A System Usability Scale Score Of 82.4 Confirms Excellent Usability Across Non-technical Faculty Users
Author: Balaji Uplanchwar | Harsh Murkewar | Sanket Bhapkar | Vinayak Godse
AI-Driven Price Prediction System For Direct Farmer-to- Market Consumer Agricultural Market
Area of research: Information Technology
Farmers Who Sell Directly To Consumers Through Digital Platforms Often Have No Idea What Price To Charge For Their Produce. They Rely On Heuristic Judgment And Informal Market Signals, Or Whatever Their Neighbor Charged Last Week. This Leaves Money On The Table During High-demand Periods And Causes Unnecessary Losses When The Market Is Already Saturated. On The Other Hand, Consumers Have No Way To Tell Whether A Listed Price Is Fair Or Inflated. This Paper Tackles That Specific Problem By Building A Price Prediction System Called AIPPS (Agricultural Intelligent Price Prediction System) That Is Designed From The Ground Up For Farmer-to-consumer (F2C) Digital Markets, Not The Wholesale Exchanges That Most Existing Research Focuses On. AIPPS Combines A Bidirectional LSTM Network With An XGBoost Ensemble In A Two-stage Architecture. The Bi-LSTM Handles The Sequential Price History And Weather Patterns, While XGBoost Cleans Up Residual Errors By Incorporating Structured Features Like Supply Volumes, Transport Costs, And Seasonal Indicators. We Trained And Tested The Model On 24 Months Of Transaction Data From 120 Micro Markets Covering Five Commodity Groups. The System Achieves A MAPE Of 1.84%, RMSE Of 1.84, And R² Of 0.963, Which Is Substantially Better Than ARIMA, SVR, Random Forest, And Standalone LSTM Baselines. We Also Built A Mobile Dashboard For Farmers Showing A Simple Sell/hold Recommendation And A Consumer-facing Page That Shows Predicted Fair Price Ranges. Ablation Experiments Confirm That Each Component Of The Architecture Genuinely Contributes To The Final Accuracy.
Author: Rahil Mulani | Muskan Bajaj | Vansh Gondane | Shubham Adkar | Vinayak Shinde
Urban Air Pollution Assessment And Control Measures: A Case Study Of Pune City
Area of research: Computer Engineering
This Study Presents A Short-term, High-resolution Assessment Of Ambient Air Quality In Pune, Maharashtra, India, Using 30 Consecutive Days Of Continuous Monitoring Data (February 16 To March 17, 2026) From Government-operated Continuous Ambient Air Quality Monitoring Stations (CAAQMS). Six Pollutants Were Analysed: PM2.5, PM10, CO, SO2, NO2, And O3. The Period-mean Air Quality Index (AQI) Was 106.0 ± 44.8, With Daily Values Ranging From 30 To 188. PM2.5 Exceeded The Central Pollution Control Board (CPCB) 24-h National Ambient Air Quality Standard (NAAQS) Of 60 μg/m³ On 9 Of 30 Days (30 %). PM2.5 And PM10 Co-varied Near-perfectly (r = 0.9997), With A Mean PM2.5/PM10 Mass Ratio Of 0.84 ± 0.01, A Pattern Consistent With Combustion-dominated Aerosol. Three Distinct Temporal Phases Were Identified And Provisionally Attributed To Winter-inversion-enhanced Traffic Emissions, A Synoptic Flushing Event, And A CO-elevated Pre-monsoon Transition. The Study Is Explicitly Limited In Scope: It Covers A Single Meteorological Transition Season, Lacks Co-located Meteorological Measurements And Source-apportionment Analysis, And Cannot Support Causal Attribution. On The Basis Of The Observed Exceedances And Phase Structure, Evidence-anchored Recommendations For Vehicular Emission Control, Industrial Monitoring, And Network Expansion Are Proposed.
Author: Vaibhav Shivaji Gaikwad | Nikhil Gaikwad | Vishal Kutaphale | Apeksha Bagade
Optimisation Of A Biogas Plant For Enhanced Biogas Production And Methane Concentration
Area of research: Computer Engineering
An Increase In The World’s Demand For Renewable/sustainable Sources Of Energy Has Created Significant Interest In The Environmental Benefits Of Producing Biogas From Organic Waste For Both Energy Production And Managing Organic Waste On A Distributed Basis. The Traditional Biogas Plants Exhibit A Number Of Problems – Including Low Concentrations Of Methane, Instability In The Digestion Process, Poor Feedstock Management, And Lack Of Effective Systems To Purify Gas Produced – All Of Which Lower The Combustion Efficiency And Energy Output Of The Plant. In This Article, The Authors Provide A Conceptual Framework For Designing And Optimising A Smart Biogas Plant To Improve Yields And Quality Of Biogas Produced. The Proposed System Integrates Multiple Optimisation Strategies, Including Feedstock Balancing Through Controlled Carbon-to-nitrogen (C:N) Ratio Management, Mechanical And Thermal Pretreatment Of Biomass, Mesophilic Temperature Regulation Using Insulation And Solar-assisted Heating, Controlled Mixing Mechanisms, And Low-cost Biogas Purification Techniques For The Removal Of Carbon Dioxide, Hydrogen Sulfide, And Moisture. In Addition, The Incorporation Of Temperature Sensors And Automated Control Systems Is Proposed To Maintain Stable Anaerobic Digestion Conditions And Improve Process Efficiency. Theoretical Analysis And Findings From Existing Literature Indicate That The Integrated Optimisation Approach Can Significantly Improve Digestion Stability, Methane Concentration, Calorific Value, And Biogas Purity Compared To Conventional Biogas Systems. Furthermore, The Proposed Model Offers Potential Benefits In Terms Of Renewable Energy Generation, Waste Utilisation, Environmental Sustainability, And Reduced Greenhouse Gas Emissions. The Study Provides A Comprehensive Conceptual Foundation For Future Experimental Validation And The Development Of Intelligent High-efficiency Biogas Systems For Rural And Industrial Applications.
Author: Yadnyesh Surange | Sachin Tidke | Shubham Sanap | Prachi Hivarale | Vishwajit Hajare
Adoption Of Solar Panels In Rural And Urban India
Area of research: Computer Engineering
With Abundant Availability Of Solar Energy Year-round, The Country Has Ample Scope For Using Solar Power To Meet Its Growing Energy Demands. Solar Panels Are Thus Gaining Popularity In India And Playing A Crucial Role In Its Energy Transition. This Paper Studies The Usage Of Solar Panels In Rural And Urban Areas, Highlighting Their Application And Overall Impact. Rural Communities Make Use Of Solar Panels For Basic Lighting Purposes, As Well As Irrigation Purposes. On The Other Hand, The Primary Drivers Of Adoption In Urban Communities Include Rising Electricity Prices And Increased Environmental Awareness. The Paper Will Look Into Various Factors Associated With This Issue, Including Benefits And Constraints. Among Several Benefits, Reduction In Dependence On Fossil Fuels, Decreased Carbon Footprint, And Financial Savings Are Mentioned As Some Of The Key Benefits. Constraints Include Initial Installation Costs, Lack Of Awareness Among Communities In Certain Locations, As Well As Maintenance Issues. The Paper Will Analyze The Financial Feasibility Of Solar Panel Adoption In India, Demonstrating That The Cost Of Installation Would Be Recovered Within A Relatively Short Period Of Time. It Becomes Clear That Further Adoption In This Regard Requires Raising Awareness Levels Among Communities.
Author: Uday Jaybhaye | Onkar Suryawanshi | Sanika Jadhav | Nandini Tribhuvan | Priyanka Shivalkar
Experimental Analysis Of Solar Energy Concentration And Heat Absorption In A Box-Type Solar Cooker Under Varying Conditions
Area of research: Computer Engineering
Solar Energy Is A Great Option For Cooking In An Eco-friendly And Sustainable Way, Especially In Areas With Plenty Of Sunlight. This Paper Talks About An Experiment That Tested How Well A Box-type Solar Cooker Can Collect And Use Solar Energy Under Different Conditions. The Study Looked At How Things Like The Angle Of The Reflector, The Type Of Material Used To Absorb Heat, And Whether The Cooker Has A Clear Cover Affect How Efficiently It Works. A Model Of A Box Solar Cooker Was Made Using Materials That Are Easy To Find Locally. To Understand How Different Factors Influence Heat Collection, Tests Were Done At Different Times. It Was Found That While A Black Surface Is Good At Absorbing Heat, Using Reflective Surfaces Helps Gather More Solar Energy. A Clear Cover Also Helps By Trapping Heat Inside, Like A Greenhouse, Which Makes The Cooker Work Better. Other Things, Like How Hot The Outside Is And How Strong The Sunlight Is, Also Play A Big Role In How Well The Cooker Works.From This Study, It Is Clear That There Is A Great Potential In The Utilization Of Solar Energy As An Alternative Energy Source For Cooking. Experimental Evaluation Based On Various Parameters Is Essential In Improving Cooker Designs. By Comparing Results, It Was Seen That Setting The Reflector At The Right Angle And Improving Insulation Makes The Cooker More Efficient. The Findings From This Study Can Help Improve The Design Of Solar Cookers. Overall, This Study Shows That Solar Energy Has A Lot Of Potential As A Clean And Renewable Energy Source For Cooking. Testing And Looking At Different Factors Is Important For Making Solar Cookers Work Better.
Author: Kiran Kawale | Trupti Shinde | Sankalp Barapatre | Tanishka Kedari | Vaishnavi Gite
Environmental Impacts Of Solar Energy Adoption: A Comprehensive Analysis
Area of research: Information Technology
As The World Moves Towards Renewable Sources Of Energy, Solar Photovoltaic (PV) Energy Systems Have Been Identified As One Of The Main Options For Reducing Greenhouse Gas Emissions And Sustainable Development. Although They Generate Clean Energy During Operation, There Are Certain Environmental Aspects Relating To These Solar Energy Systems Throughout Their Lifetimes. Life Cycle Assessment (LCA) Method Has Been Employed To Undertake An Elaborate Analysis Of These Environmental Considerations. Environmental Factors Such As Energy Payback Time, Carbon Emission, Resource Usage, Land Use, And Post-use Disposal Of The PV System, Among Others, Have Been Considered In The Study. Environmental Impacts Associated With The Use Of This Solar Energy Source Such As Habitat Destruction, Extraction Of Raw Materials, And Generation Of Waste Due To Decommissioning Of Old Panels Have Also Been Looked Into. By Contrasting The Environmental Impacts Of Renewable Energy Sources And Non-renewable Sources Of Energy, The Benefits Of Solar Energy Are Identified. Further, The Impacts Of Emerging Technologies Like IoT-based Monitoring Systems And Energy Storage Systems Have Also Been Investigated By The Study. Various Mitigation Methods Including Sustainable Site Selection, Better Recycling Procedures, And Regulatory Support, Especially In Developing Nations Like India, Have Been Reviewed. Finally, It Has Been Found Out That Despite Being A Sustainable Energy Option, The Overall Efficiency Of The Energy Source Lies In Appropriate Policy Support And Technology Developments.
Author: Shweta Kedari | Omkar Raut | Dipak Kale | Preksha Raut | Diksha Budhnavar
Plastic Waste To Resource: Sustainable Conversion Of Urban Plastic Waste Into Value-Added Products
Area of research: ENTC
Urban Plastic Waste Has Become One Of The Most Visible Environmental Stresses Associated With Rapid Urbanization, Changing Consumption Patterns, And Inadequate Waste Management Systems [5], [6], [7]. This Paper Examines How Plastic Waste Generated In Cities Can Be Transformed Into Value-added Products Rather Than Being Treated Only As Residual Waste. The Study Synthesizes Recent Literature On Urban Plastic Waste Management, Circular Economy Strategies, Plastic-sand Composite Construction Materials, Recycled Polymer Use In Textiles, Consumer Goods Manufacturing, And Pyrolysis-based Fuel Recovery [2], [6], [11], [12]. It Also Proposes An Integrated Urban Plastic Resource Conversion Framework And Includes An Illustrative Survey-based Analysis To Understand Public Awareness And Acceptance Of Recycled Plastic Applications. The Review Indicates That Weak Source Segregation, Low Recovery Efficiency, Contamination Of Recyclables, Limited Infrastructure, And Poor Market Linkages Remain Major Barriers In Urban Settings. At The Same Time, Plastic Roads, Paver Blocks, Composite Bricks, Recycled PET-based Textiles, Household Products, And Carefully Regulated Pyrolysis Systems Show Practical Promise When Deployed In The Correct Context. Literature On Plastic-sand Pavers Reports Strong Performance At Around A 30:70 LDPE-to-sand Ratio, While Pyrolysis Studies Commonly Investigate Temperature Windows Around 450–600 °C For Liquid-fuel-oriented Recovery [1], [2], [4] . The Paper Concludes That Cities Need A Combined Strategy Of Segregation, Decentralized Preprocessing, Standards-based Product Manufacturing, Producer Responsibility, And Demand Creation For Recycled Products. The Aim Is To Present An Original, Publication-ready Synthesis That Frames Plastic Waste As A Recoverable Urban Resource Within A Circular Economy.
Author: Tanmay Dharmik | Tanmay Kalal | Diksha Ausarmal | Atharv Phadake | Sonali Virkar, Prerana Pawar
A Study On College Students' Perceptions Of Challenges In Pursuing Higher Education Abroad: A Survey-Based Analysis
Area of research: Computer Engineering
Many College Students Are Drawn To The Growing Trend Of Pursuing Higher Education Overseas, But A Number Of Obstacles Affect Their Decision-making. The Purpose Of This Study Is To Examine How College Students Perceive Possible Challenges When Studying Overseas. Financial Limitations, Immigration And Visa Procedures, Language Barriers, Housing Costs, And Racism Or Discrimination Were Identified As The Five Main Problems. Existing Research Papers Pertaining To Each Of These Issues Were Analyzed As Part Of A Literature Review. Additionally, 40 College Students Participated In A Survey That Was Conducted Using A Structured Questionnaire Via Google Forms. The Findings Were Examined To Identify The Students' Top Concerns. The Results Show That Language Barriers And Financial Limitations Are Viewed As The Most Important Obstacles, Followed By Housing Costs And Language Visas/immigration. Existing Solutions Were Also Looked At, But They Are Frequently Incomplete And Fragmented. Based On The Analysis, The Study Emphasizes The Necessity Of More Comprehensive Support Systems To Successfully Handle The Various Difficulties Encountered By Students Who Intend To Study Overseas.
Author: Asmita Paygude | Nilam Patil | Rajeshwari Gadilkar | Deepak Surnar | Bhagyashree Sonkamble
Menstrual Cup: A Sustainable Solution For Menstrual Hygiene
Area of research: Electronics & Telecommunication
Menstrual Hygiene Management (MHM) Remains A Critical Yet Under-addressed Public Health Challenge, Particularly In Rural And Peri-urban Communities Of Developing Nations. Inadequate Access To Safe, Affordable, And Sustainable Menstrual Hygiene Products Continues To Affect The Health, Dignity, Education, And Socioeconomic Participation Of Millions Of Women And Girls. The Menstrual Cup, A Reusable Silicone-based Intravaginal Device Designed To Collect Menstrual Fluid, Has Emerged As A Promising Alternative To Conventional Disposable Products Such As Pads And Tampons. This Paper Presents A Comprehensive Research Study Examining The Menstrual Cup As A Sustainable Solution For Menstrual Hygiene Management. Through A Mixed-method Approach Encompassing A Structured Survey Of 200 Participants (comprising Rural And Urban Women Aged 15–45), Field Observations, And Literature Synthesis, The Study Evaluates Awareness Levels, Acceptability, Usage Patterns, Advantages, And Socio-cultural Barriers Associated With Menstrual Cup Adoption. Findings Indicate That While Awareness Of Menstrual Cups Remains Significantly Low In Rural Areas (approximately 18%), Urban Acceptance Is Comparatively Higher (approximately 62%). Key Advantages Identified Include Cost-effectiveness Over Long-term Use, Environmental Sustainability (reduction Of Menstrual Waste), Health Benefits (lower Risk Of Toxic Shock Syndrome And Infections), And Enhanced Convenience. Major Challenges Include Cultural Taboos, Lack Of Awareness, Initial Discomfort During Insertion/removal, And Limited Access To Clean Water For Maintenance. The Study Concludes With Evidence-based Recommendations For Policy Interventions, Community Outreach Programs, And Educational Campaigns To Foster Wider Adoption Of Menstrual Cups, Especially Among Underserved Populations.
Author: Tanusha Mahakal | Ganesh Patil | Princy Kumari | Sarthak Pawar
Tree Plantation As A Natural Solution For Climate Change Mitigation And Environmental Sustainability
Area of research: Information Technology
Climate Change Has Become A Major Global Concern. Due To Nonstop Large- Scale Deforestation, Artificial Growth, Urbanization And Expanding Industrialization, The Natural Balance Of The Earth’sbiosphere Is Decreasing. This Has Led To Serious Ecological Challenges Affecting Sustainability And Biodiversity. Afforestation And Reforestation Aretwo Of The Most Effective Natural Solutions To Climate Change.This Study Aims To Analyze The Contribution Of Tree Plantation In Mitigating Carbon Dioxide Concentrations And Balancing Environmental Conditions. The Exploration Is Grounded On Findings, Research, Case Studies, Graphical Analysis, Community Initiatives,and Relative Compliances Of Areas With And Without Foliage. The Results Indicate That Trees Significantly Contribute To Climate Regulation, Maintaining Ecological Balance, Improving Air Quality,carbon Sequestration, And Temperature Reduction. Trees Planted On A Small Scale In Urban Areas Significantly Contributes In Temperature Reduction And Pollution Control. The Findings Punctuate That Both Small- Scale And Large- Scale Tree Plantations Play An Important Role In Combating Climate Change And Promoting Sustainable Development.
Author: Sneha Dnyaneshwar Harne | Vaishnavi Sunil Purigosavi | Aditya Chhagan Suryavanshi | Aryan Tanaji Waghmare
Wind Energy Potential And Deployment Challenges In India: Technical And Economic Perspective
Area of research: Electrical Engineering
- India’s Transition Toward Sustainable Energy Systems Necessitates The Effective Utilization Of Its Abundant Renewable Resources. Among These, Wind Energy Presents A Significant Yet Underutilized Opportunity, With An Estimated Potential Of Approximately 695 GW At Higher Hub Heights, Compared To An Installed Capacity Of Just Over 50 GW As Of 2025. This Study Investigates The Disparity Between Resource Availability And Actual Deployment Through An Integrated Technical And Economic Perspective. The Analysis Combines Recent Literature, National Datasets, And Graphical Evaluations To Examine Capacity Trends, Regional Distribution, And Cost Dynamics. The Findings Indicate That The Primary Barriers To Wind Energy Deployment Are Not Resource-related But Stem From Systemic Challenges, Including Grid Limitations, Financial Constraints, And Policy Inconsistencies. Furthermore, The Study Highlights The Economic Dominance Of Onshore Wind And The Emerging Potential Of Offshore Systems Despite Their Higher Costs. The Paper Concludes That Addressing These Interconnected Challenges Through Coordinated Infrastruc-ture Development, Policy Stability, And Technological Advancement Is Essential For Unlocking India’s Wind Energy Potential.
Author: Gaurav Abasaheb Shirsath | Shruti Sanjay Sutar | Sagar Kiran Kulkarni | Trupti Nilesh Shinde | Pooja Rajendra Bondge, Kuldeep Devidas Thorat
Vertical Farming As A Solution For Land Shortage In Cities
Area of research: Computer Engineering
Rapid Urbanization Has Placed Tremendous Pressure On Available Agricultural Land, Making It Increasingly Difficult To Meet The Food Demands Of Growing City Populations. Traditional Farming Methods Require Large Tracts Of Land, Which Are Simply Unavailable In Densely Built Urban Environments. This Paper Examines Vertical Farming As A Practical And Sustainable Solution To Address Land Scarcity In Cities. The Study Explores Three Core Technologies—hydroponics, Aeroponics, And Aquaponics—and Evaluates Their Technical Working Principles, Components, Benefits, And Limitations. A Comparative Analysis Of Global Case Studies From Singapore, Japan, The United States, The Netherlands, And The UAE Has Been Conducted. The Methodology Relies On Secondary Data Gathered From Published Research Papers, FAO Reports, And Government Agriculture Studies. Results Indicate That Vertical Farming Can Reduce Water Usage By Up To 95% Compared To Conventional Agriculture, Increase Crop Yield Per Unit Area By 5 To 10 Times, And Enable Year-round Production Independent Of Weather Conditions. While Challenges Such As High Energy Costs And Initial Capital Investment Remain, The Technology Shows Significant Feasibility As Part Of Smart City Planning. This Paper Concludes That With Appropriate Policy Support And Technological Improvements, Vertical Farming Can Play A Meaningful Role In Achieving Urban Food Security.
Author: Mohil Patil | Kavy Changela | Janhavi Patharavat | Mahesh Manolikar | Megha Khanderao
Organic Farming As A Sustainable Agricultural Practice And The Problems Faced By Farmers Adapting It
Area of research: Computer Dept
Organic Farming Has Become A Sustainable Farming Method That Focuses On Maintaining Soil Health, Supporting Biodiversity, And Protecting The Environment. However, Moving To Organic Agriculture Comes With Several Challenges, Including High Start-up Costs, Lower Yields, Policy Issues, And Difficulties In Managing Crops After Harvest. This Study Looks At How Sustainable Organic Farming Is By Exploring Its Role In Adapting To Climate Change And Identifying Key Barriers To Its Adoption. The Research Uses Secondary Data From Published Studies, Government Reports, And Case Studies From India. The Findings Show That Organic Farming Improves Soil Fertility, Lowers Chemical Pollution, And Supports Long-term Sustainability, But Farmers Encounter Financial And Technical Obstacles During The Transition. Strengthening Policy Support, Improving Training Programs, And Creating Better Marketing Infrastructure Can Help More Farmers Switch To Organic Methods.
Author: Aman Gajage | Saba Shaikh Rauf | Chetan Datre | Dhanashree More | Ujjwal Katre
PERFORMANCE APPRAISAL FOR EMPLOYEE MOTIVATION
Area of research: IT
This Research Investigates The Impact Of Performance Appraisal Systems On Employee Motivation At EEE Infra Equipments Pvt. Ltd., Chennai. The Study Evaluates The Effectiveness Of The Appraisal Process And Its Influence On Employee Performance. Through A Structured Questionnaire Distributed To 110 Respondents And Statistical Analysis Using Correlation And Chi-square Tests, The Research Explores Employee Perceptions Of The Appraisal System And Its Motivational Effect. The Study Reveals That A Majority Of Employees Are Moderately To Strongly Motivated By The Appraisal System, With Significant Positive Correlations Found Between Promotion-linked Salary Increments And Expected Benefits. The Study Concludes With Recommendations To Enhance Transparency, Feedback Mechanisms, And Career Development Opportunities To Foster A More Motivated And Productive Workforce.
Author: Swathi P. | DR.S.PRAKASH
A Novel Token-Wise Asymmetric Contrastive Learning For Robust Face Presentation Attack Detection
Area of research: Biomedical Engineering
Face Recognition Systems Have Become A Fundamental Component Of Modern Biometric Authentication. However, These Systems Remain Vulnerable To Presentation Attacks Such As Printed Photographs, Replay Videos, Masks, And AI-generated Deepfakes. Existing Face Anti-spoofing (FAS) Methods Often Exhibit Limited Generalization When Exposed To Unseen Attack Types And Cross-domain Variations. This Paper Presents A Robust FAS Framework That Combines Token-level Feature Learning, Contrastive Representation Learning, And Angular Margin Optimization To Improve Liveness Detection Performance. The Proposed Framework Learns Discriminative Feature Representations By Encouraging Compact Live-face Embeddings And Enhanced Separation From Spoof-face Embeddings. Localized Facial Analysis Enables The Extraction Of Fine-grained Liveness Cues, Including Texture Inconsistencies, Illumination Artifacts, And Reflectance Variations. Experimental Evaluation Demonstrates An Accuracy Of 90.91%, An ACER Of 9.9%, And A ROC-AUC Of 0.9903, Indicating Strong Discriminative Capability. The Proposed System Provides An Effective And Practical Solution For Enhancing Biometric Security Against Presentation Attacks.
Author: Libinsha E | M. K. Dwaraka
Mental Health Awareness And Support Systems For Youth- A Survey Based Analysis
Area of research: Computer Engineering
Mental Health Has Become A Big Worry For Young People Today, Especially Because Of Fast Changes In Technology, Tough School Competition, High Expectations From Society, And New Ways Of Living. Teenage Years And The Early Years Of Adulthood Are Times When People Go Through A Lot Of Changes In Their Emotions, Thoughts, And How They Relate With Others. These Changes Can Make Young People More Likely To Face Mental Health Problems Like Anxiety, Depression, And Stress. Even Though More People Are Talking About Mental Health Now, There Isn't Enough Awareness Or Support Systems, Especially In Places Like India. This Research Paper Looks At How Aware Young People Are About Mental Health, What Problems They Face, And How Well The Support Systems Work. It Also Looks At How Young People Seek Help And How Society's View On Mental Health Affects Open Discussions. Data Was Collected Through A Questionnaire Given To Students And Young People Aged 16 To 30. The Results Show That Most People Know What Mental Health Is, But They Don’t Always Take Action When They Need Help. Another Key Point From This Study Is How Digital Platforms Are Changing The Way People Think About Mental Health. Although Social Media Is Often Linked To Stress, Comparison, And Anxiety, It Also Plays A Big Role In Raising Awareness, Sharing Personal Stories, And Reducing The Stigma Around Mental Health Issues. Many Young People Come Across Mental Health Information Online, Which Helps Them Learn Basic Facts, But This Information Isn't Always Accurate Or Helpful For Taking Action. This Shows That Digital Platforms Have Both Good And Bad Effects, Which Means There's A Need For Trusted, Reliable, And Easy-to-use Mental Health Resources That Are Designed For Young People. The Study Also Points Out How Important It Is To Spot Mental Health Problems Early And Take Action To Stop Them From Getting Worse. Without Timely Help, Mental Health Issues Can Lead To Long-term Effects On School Performance, Future Career Opportunities, And Relationships With Others. By Recognizing Early Signs And Common Stress Factors, Schools And Government Leaders Can Create Focused Solutions That Deal With The Real Causes Of Mental Health Struggles, Not Just The Symptoms .The Study Ends By Suggesting Practical And Easy-to-spread Solutions Like Teaching Mental Health Topics In Schools, Improving Counseling Services, And Using Digital Tools To Offer Support That's Easier To Reach. It Also Highlights The Value Of Early Help, Involving The Community, And Creating Policies That Support Mental Health For Young People. By Combining Survey Results With Existing Research, This Paper Adds To The Discussion On Youth Mental Health By Offering Useful Observations And Clear Steps That Can Help Increase Awareness, Lower Stigma, And Improve Support For Young Individuals. [1], [3], [4] Reasons Like Social Judgment, Not Having Easy Access To Help, Money Problems, And Poor Support From Schools Or Institutions Stop Them From Getting Help. The Paper Suggests Ways To Improve Things, Like Teaching Mental Health In Schools, Making Better Counselling Services, And Using Technology To Reach More People. This Study Adds Valuable Information To The Conversation About Mental Health Among Young People And Gives Ideas That Can Be Used In Real Life.
Author: Sanika Dhanve | Ishwari Nalawade | Durvanka Kolapate | Shruti Singh | Ketan Rathod
Hydroponic Farming For Future Food Production: The Context Of A Growing Population And Limited Land Availability
Area of research: Computer Engineering
The Growing Population Is The Biggest Challenge Will Be Facing For The Entire World And Feeding This Entire Range Seems More Challenging. As The Rapid Growth In Industrialization More And The Rapid Conversion Of Agricultural Land To Non-agricultural Transforming Into Planning Well Designed Emerging Futuristic Human Society And Establishing This Led To Unavailability Of Well-maintained Fertile Land. And The Byproduct Of This From Past And From Now To Upcoming Decade Will Definitely Decrease The Fertility And Nutrition In The Cultivable Agricultural Land. So, To Maintain The Balance Between The Growing Population, Growing Industrialization And Balance Between The Food Chain The Importance Of Fulfilling Them With Help Of Hydroponic For Their Understanding The Importance Of Hydroponic In Installation At Appropriate Is One Of The Key Factor Responsible Successful Acceptance Rates For This Technique. The Benefit Against The Traditional Farming Is Which Can Be The Water And Space Utilization For Applying In Apartments And Their Individual Balcony The Design By Modifying The Current Model The System Is Design Over By Us For Space Utilization And Most Important The Highlighting The Fulfilment Of Food Resources With The Organic Essentials. The Initial Investment For This Technique Is Quite High As Comparative To Traditional But The Productivity Marine That Is Gain Is More As Compared To Traditional This Can Be The Source For Fulfilling The Requirement In The Factor Of Food Chain. This Technique Gives The Opportunity For The People Which Want To Cultivate For The But Lack In The Availability Of Cultivable Nutrition Rich Land. Thus, It's Obvious For Fulfilling The Need Variety Of Options Have Been Adopted By The Human And A Every Step Taken Have Its Contribution For The Development Even That If It Is A Small Portion. And Thus, Hydroponic Farming Plays A Vital Role In Future Food Security In Context Over The Variety Of Type Of Society And Humankind That May Range From Urban To Rural, Rich To Poor.
Author: Parth Gaikwad | Shreya Ghatge | Aditi Singh | Aditya Shinde | Sakshi Kute
Role Of Digital Learning Platforms In Improving Education Access: A Multi-Regional Analysis Of Rural Barriers
Area of research: ENTC
The Rapid Evolution Of Digital Learning Has Trans-formed The Educational Landscape, Yet Profound Disparities Remain Between Urban And Rural Sectors. This Paper Ana-lyzes The Efficacy Of Digital Platforms In Bridging The Educa-tional Gap, Specifically In Resource-constrained Environments. By Synthesizing Empirical Data From Diverse Regions, Includ-ing India And Myanmar, We Identify A “triumvirate Of Bar-riers”—infrastructural, Socioeconomic, And Pedagogical. Find-ings Indicate That While Digital Platforms Enable Individualized Learning, 63% Of Rural Learners Face Network Instability That Leads To Disengagement. We Conclude By Recommending Localized Infrastructure Solutions To Foster Equitable Digital Inclusion.
Author: Nakshatra Kale | Shivaji Mohan Mane | Sakshi Sampat Bhutada | Aryan Subhashrao Waghmare | Suhas Daphal, Jayesh Baban Hirve
DRUG AND ALCOHOL USE AMONG YOUTH: A GROWING PUBLIC HEALTH CONCERN
Area of research: Information Technology
Alcohol And Tobacco Use Is A Problem Among Young People Nowadays. It Is Happening Everywhere Not In One Place And India Is No Exception. Many Students Are Drinking Alcohol Using Tobacco And Sometimes Other Substances Too. There Are Reasons Why This Is Happening. It Could Be Because Of The Pressure To Do Well In School.. It Could Be Because Of Changes In Lifestyle. Sometimes It's Because Of The Kind Of People They Hang Out With, Like Friends Or Family.. Sometimes Young People Just Start Using These Things Without Thinking Much. In Our Study We Looked At People In The Pune Region. We Found That Many Students Have Tried Alcohol And Tobacco At Once. Some Are Using It Regularly. Alcohol Seems To Be The Substance That Young People Use The Most. It's Worrying That Many Students Start Using Alcohol And Tobacco When They Are Still, In School Or Early College. We Found That Many Factors Contribute To People Using Alcohol And Tobacco. Friends Influence Plays A Role. Family Situation Is Also Important. It's Easy To Get Alcohol And Tobacco. The Way Young People Use These Substances Varies. It Depends On Their Age, Family Background And Financial Condition. Substance Abuse Is An Issue That We Need To Pay Attention To. If We Ignore Itit May Become A Problem Later. We Can Take Steps To Prevent It. *We Can Give Awareness About The Dangers Of Substance Abuse. We Can Provide Guidance And Support From Family And College. It Is Better To Act Instead Of Waiting Until It Becomes Serious. Substance Abuse, Alcohol And Tobacco Use Needs To Be Addressed Properly. Otherwise It Can Affect Young People In The Future.
Author: Balaji Uplanchwar | Sneha Shetfale | Aditi Biradar | Anish Jadhav | Paurnima Kawalekar
Textile Industry & Its Growing Impact On Environment: Detailed Study On The Flourishing Industry And Its Critical Drawbacks
Area of research: Electronics & Telecommunication Engineering
The Textile Industry Is A Well-established And Growing Sector. It Has Both Positive And Negative Impacts, As It Provides Livelihoods For Thousands Of Families But Also Harms Many. Large Quantities Of Water Are Used In The Process, Significantly Affecting Local Ecosystems And Communities. The Water Is Contaminated With Hazardous Chemicals From Dyeing And Other Procedures, Which Are Discharged Into Nearby Water Bodies, Disrupting The Ecological Balance And Causing Toxicity. Water Sources Used For Farming, Fishing, And Drinking Become Contaminated, Gradually Harming Local Populations. While Previous Research Has Addressed These Issues, They Continue To Persist. This Study Aims To Consolidate Existing Efforts And Focus On Processes That Can Achieve Better Outcomes. The Paper Seeks To Propose Solutions, Emphasize The Enforcement Of Regulations, And Promote Proper Treatment Of Wastewater Discharged By The Textile Industry. The Paper References Various Studies Conducted Over Time, Ensuring That Meaningful Results Can Be Drawn. These References Include Research From Regions Where The Industry Is Most Active.
Author: Sabyasachi Mohapatra | Shreya Boda | Utkarsha Kulkarni | Aditya Jangam | Anjali Kharade
Digital Addiction : A Multi-Dataset Analysis Health Impacts, Usage Patterns, And Intervention Strategies
Area of research: Computer Engineering
Digital Addiction Has Become A Major Worldwide Public Health Problem Which Mainly Affects Teenagers And Young People Between 15 And 25 Years Old. The Mass Adoption Of Smart- Phones Along With Social Media Platforms And Online Gaming Platforms Has Generated An Unprecedented Amount Of Digital Interaction Which Leads People To Develop Obsessive Digital Usage Patterns That Harm Their Physical And Mental Health. The Research Paper Conducts An All-encompassing Data-based Examination Of Digital Addiction Through A Multi-dataset Approach Which Combines Original Survey Information With Extensive Secondary Data Collections. The Research Findings Demonstrate That Spending Too Much Time In Front Of Screens Leads To Negative Effects On Vital Health Markers Which Include Sleep Quality, Mental Health Scores, Cognitive Performance, And Physical Activity Levels. Young People Between 15 And 25 Years Old Spend The Most Time Watching Screens While They Primarily Use Their Devices For Social Media And Entertainment Purposes. The Research Presents A Multi- Level Intervention System Which Combines Personal Behavioral Approaches With Family-based Initiatives, Institutional Support, Policy-based Directives, And A Smart Monitoring System. This System Uses Data For Tracking Purposes. The Research Paper Adds To The Growing Evidence Which Supports That Digital Addiction Requires Specific Evidence-based Treatment Approaches For The Current Digital Age.