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Volume: 12 Issue 06 June 2026
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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
DESIGN, STRUCTURAL VALIDATION AND PERFORMANCE EVALUATION OF A PEDAL-OPERATED GROUNDNUT SHELLING MACHINE FOR SMALL-SCALE AGRICULTURAL PROCESSING
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.