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Volume: 11 Issue 04 April 2025


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Volume - 11 Issue - 4


Volume: 11 Issue: 4 April 2025

A STUDY ON BREAK EVEN ANALYSIS AND COMPUTATION OF RATIO ANALYSIS WITH SPECIAL REFERENCE TO SIMTA MACHINERY MANUFACTURING PRIVATE LIMITED

Area of research: Management Studies

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

Author: SYED IBRAHIM J | Felisiya.M
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Volume: 11 Issue: 4 April 2025

Student Attendance Using Barcode Scanner

Area of research: Information Technology

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

Author: Amey Bhatlavnde | Diksha Pawar | Tanuja Kamble | Kalyani Dhage | Sanika Gidde
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Volume: 11 Issue: 4 April 2025

ANALYSING DEALERS SATISFACTION WITH REFERENCE TO V4C SOLUTION PVT LTD KALOOR KOCHI.

Area of research: MARKETING

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

Author: Ms. SHAHALA.K | DR. KVS RAJ
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Volume: 11 Issue: 4 April 2025

ANALYSING THE IMPACT OF EMPLOYEE ENGAGEMENT(PRODUCTIVITY)ON PRICOL PRECISION PRODUCTS PVT LTD

Area of research: Management Studies

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

Author: Mr.Akshay Ct | Dr KVS Raj
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Volume: 11 Issue: 4 April 2025

CUSTOMER RETENTION STRATEGIES FOR B2B SOFTWARE FIRMS WITH SPECIAL REFERENCE TO CYDEZ TECHNOLOGIES, KOCHI

Volume: 11 Issue: 4 April 2025

A Study on Influencer Collaboration For Brand Awareness of Indigo Paints Ltd

Area of research: Management Studies

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

Author: Mr. Vishnu Dinesh | Dr. C Ashokan
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Volume: 11 Issue: 4 April 2025

Anaesthesia Machine Control Using Raspberry Pi Pico With Battery Backup & Machine Learning

Volume: 11 Issue: 4 April 2025

SARAHIRE-SKILL BASED JOB RECOMMENDATION SYSTEM FOR ALUMNI

Area of research: Artificial Intelligence

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

Author: Selline E | Dr.Rengaraj Alias Muralidharan R | Joanne Pranita G | Kiruthika Lakshmi D | Thirisha Sri J
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Volume: 11 Issue: 4 April 2025

CHANGES OF CUSTOMER BEHAVIOUR TOWARDS HEALTH INSURANCE DURING POST PANDEMIC PERIOD

Volume: 11 Issue: 4 April 2025

EFFECTIVENESS OF INFLUENCER MARKETING ON CUSTOMER RETENTION:A STUDY AT HEDGE FINANCE LTD,KOCHI.

Area of research: MARKETING MANAGEMENT

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

Author: Ms. Swethak | Dr.K.V.S. Raj
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Volume: 11 Issue: 4 April 2025

The Impact Of Brand Awareness On Investor Behavior: A Study On Hedge Equities

Area of research: Marketing Management

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

Author: Ms. Ranju Sree P.R | Dr.Sreejamol K.S
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Volume: 11 Issue: 4 April 2025

AI Collaboration Platform For Performace Tracking

Area of research: Information Technology

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

Author: Madhumita .V | Ms.A.Sheelavathi | Dharshana C | Harshitha S | Sri Dhanalakshmi .R
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Volume: 11 Issue: 4 April 2025

RESULT PAPER ON SOLAR POWERED PESTICIDES SPRAYING ROBOT WITH WIRELESS CAMERA

Area of research: Electrical Engineering

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

Author: Prof. S. D. Lavange | Shreya Prafull Varade | Supriya Vilas Sarkate | Vaishnavi Bhagwat Hage | Vaishnavi Gajanan Patil | Tejas Gajanan Band
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Volume: 11 Issue: 4 April 2025

A STUDY ON THE EFFECTIVENESS OF COMPENSATION MANAGEMENT AT ANAND WATER METER MFG CO.P LTD ,KOCHI

Area of research: Human Resources

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

Author: Moushami Mohanan | Dr. K. S Sreejamol
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Volume: 11 Issue: 4 April 2025

A Study On Job Satisfaction And Employee Retention

Volume: 11 Issue: 4 April 2025

Automatic Stationary Vending Machine For Sophisticated Organization With Stock Analysis Report

Volume: 11 Issue: 4 April 2025

Employee Wellness Programmes At Camino Infotech Private Limited, Kochi

Volume: 11 Issue: 4 April 2025

Performance Appraisal Policies At Benleng Infotech Kalamassery-An Empirical Study

Volume: 11 Issue: 4 April 2025

Talent Acquisition Practices At Atmios Technologies, Kalamassery

Volume: 11 Issue: 4 April 2025

TEAM EFFECTIVENESS ASSESSMENT MEASURES WITH SPECIAL REFERENCE TO SELECTED IT COMPANIES

Area of research: B.com Banking And Insurance

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

Author: Dr. Kalaivani P | Karnigadevi K S
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Volume: 11 Issue: 4 April 2025

The Impact Of Training And Development On Employee Performance Indigo Paints, Kochi

Area of research: MBA

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

Author: Mr. Manu Titus Mathew | Dr. KVS Raj
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Volume: 11 Issue: 4 April 2025

Safety Recommendation System By Analyzing Crime Data Using Large Language Model

Volume: 11 Issue: 4 April 2025

Intelligent Farming: AI-Driven Insights And Support

Area of research: Computer Science And Engineering

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

Author: K.Ravikumar | M.Nithishkumar | S.Karthikeyan | K.Sanchay | V.Gokul
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Volume: 11 Issue: 4 April 2025

ADVANCED TRACKING AND CHOKING VEHICLE USING GSM AND GPS

Area of research: ECE

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

Author: Dr.A.PARIMALA GANDHI | V.DHARANIDHARAN | K.HARIPRASATH | A.MOHAMMED THALHA
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Volume: 11 Issue: 4 April 2025

A Comprehensive Survey On The Evolution, Applications, And Future Directions Of Cryptography: From Classical Techniques To Post-Quantum Innovations

Area of research: Cryptography Techniques

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

Author: R.Sarathi | A.Bala Ayyappan | Dr.T.Gobinath
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Volume: 11 Issue: 4 April 2025

IoT Med Assist Enhancing For Paralysis Patients

Area of research: Engineering

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

Author: Tamilmani T | Sakthivel P | Shanthosh B J | Vijay Murugan S
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Volume: 11 Issue: 4 April 2025

A Blockchain-Based IoT-Enabled E-Waste Tracking And Tracing System

Area of research: Computer Engineering

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

Author: Mr. Vaibhav Gawaye | Prof. Manjiri Karande | Mr. Suhas Wankhade | Mr. Rohan Sarkate | Mr. Mayur Hirole
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Volume: 11 Issue: 4 April 2025

Chronic Kidney Diseases Predications Using Machine Learning

Area of research: Computer Science Engineering

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

Author: M.Periyakaruppan | A.BalaAyyappan | Dr.T.Gobinath
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Volume: 11 Issue: 4 April 2025

An Efficient Adsorption Approach For Sustainable Removal Of Heavy Metals From Wastewater Using Biochar Derived From Cowpea Husk

Volume: 11 Issue: 4 April 2025

ANALYSIS ON SUSTAINABLE SOLUTIONS FOR TANNERY EFFLUENT TREATMENT USING PLANT-BASED COAGULANTS

Area of research: Civil Engineering

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

Author: M.Sneha | T. Sathieshkumar
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Volume: 11 Issue: 4 April 2025

Seed Sowing Machine

Area of research: Desig And Manufacturing

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

Author: Sonkamble Nirbhay Sanjay | Udbale Suraj Nagnath | Chikhale Ketan Sabtosh | Yedle Aryan Atamaram | Chandreatharvanandkishor | Prof.Waghmare.V.P
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Volume: 11 Issue: 4 April 2025

Diary Effluent Treatment Using Membrane Bioreactor

Area of research: Environmental Engineering

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

Author: B. Santhosh Kumar | M.Nandhini | V. Indhumathi
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Volume: 11 Issue: 4 April 2025

Automated Toll Tax Collection System Using Cloud Database

Area of research: Computer Engineering

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

Author: Prof. Ankush Narkhede | Mr. Adnan Shaikh | Mr. Vaibhav Dethe | Mr. Alyan Khan | Mr. Adesh Wagh
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Volume: 11 Issue: 4 April 2025

Review On Weather-Based Crop Yield Prediction Using Big Data Analytics

Area of research: Computer Engineering

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

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