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A STUDY ON EMERGING ONLINE GROCERY PLATFORMS: AN OVERVIEW OF OPPORTUNITIES AND CHALLENGES IN COIMBATORE CITY
Modern Technology Has Played A Vital Role In Transforming The Retail Industry, Resulting In The Emergence Of Online Grocery Platforms. These Platforms Provide Businesses And Consumers With Convenience, Market Access, Efficient Transactions,...
Explainable AI (XAI) Multimodal Artificial Intelligence For Ayurvedic Prakriti Assessment Using Questionnaire, Tongue Images, And Facial Features
Ayurveda Classifies People Into Vata, Pitta, And Kapha Types. This Is Called Prakriti. Manual Assessment Relies On Physician Judgment. It Can Be Subjective And Hard To Repeat. This Paper Proposes A Multimodal AI System. It Uses Questionnair...
Integration Of Cost And Work Breakdown Structures In The Management Of Construction Projects Considering A Case Study Of Commercial Structure In Indore
Effectively Organizing The Progress Is A Crucial Component Of Project Management. Every Task In The Management Industry Begins With Planning. Planning Is The Foundation For Carrying Out, Overseeing, Managing, And Wrapping Up A Project. In O...
Regulating Deepfakes In India: Balancing Technological Innovation, Privacy Rights And Freedom Of Expression
Deepfake Technology Powered By Artificial Intelligence Has Emerged As One Of The Most Influential Developments In The Digital Age. By Creating Realistic But Manipulated Audio, Video And Image Content Deepfakes Have Opened New Possibilities...
A Comparative Study Of Machine Learning Algorithms And Response Surface Methodology For Energy Prediction And Optimization In Conveyor Systems
Conveyor Belts Are Fundamental To Any Modern Industrial Or Material-handling Facility, But Energy Efficient Operation Of A Conveyor System Is Essential For Decreasing Operational Cost. This Paper Proposes A Comparative Study Of Energy Optim...
A Comprehensive Study Of Machine Learning (ML) Algorithms And Performance Evaluation: Enhancing The Credit Card Fraud Detection
Credit Card Companies Must Be Able To Identify Fraudulent Credit Card Transactions So That Clients Are Not Charged For Items They Did Not Purchase. Previously, Many Machine Learning Approaches And Classifiers Were Used To Detect Fraudulent...
STRENGTHENING OF HIGH-PERFORMANCE LIGHTWEIGHT CONCRETE USING CENOSPHERE AND DOLOMITE HYBRID FILLERS
The Construction Industry’s Rapid Expansion Is Driving An Unsustainable Increase In Global Cement Production, Currently Exceeding 1.6 Billion Tons Annually. This Demand Not Only Depletes Natural Resources But Also Results In Significant Env...
AgroNGO: A Machine Learning–Enabled Platform For Farm-to-Consumer Commerce And Sustainable Food Redistribution
A Major Challenge That The Agriculture Supply Chain Is Facing In India Is The Lack Of Technology. Fragmented With Large Losses In Food Post Harvest, Lowering Farmers' Income, Poor Food Availability For Low-income Groups. This Paper Outlines...
E-COMMERCE WEBSITE WITH EJS
Design And Develop A Scalable E-commerce Website With Robust User Authentication And Payment Gateway Integration, Providing A Seamless And Secure Shopping Experience For Customers. This E-commerce Website Provides A Secure And User-friendly...
Transformer Winding Alert And Temperature Control Hub
T-WATCH (Transformer Winding Alert Temperature Control Hub) Is An IoT-based Transformer Monitoring And Control System Designed To Improve Reliability, Safety, And Operational Efficiency. The System Uses A NodeMCU ESP32s To Continuously Moni...
Intelligent Learning Outcome Prediction Using Machine Learning Techniques
Student Performance Prediction Is An Important Application Of Educational Data Mining That Helps Institutions Identify Students Who May Require Academic Support At An Early Stage. This Study Proposes A Classification-based Approach To Predi...
Hybrid Machine Learning Model For Multi-Diseases Diagnosis
Co-occurring Chronic Conditions And Complex Multi-disease Pathologies Represent An Escalating Global Public Health And Socioeconomic Crisis. In Rapidly Growing Urban Patient Populations, Overlaps Between Metabolic, Cardiovascular, And Neuro...
BIKE PRICE PREDICTION SYSTEM USING MACHINE LEARNING
The Valuation Of Used Consumer Assets, Particularly Pre-owned Two-wheeled Vehicles, Remains A Major Secondary-market And Socioeconomic Challenge. In Rapidly Developing Urban Transport Ecosystems, Frequent Fluctuations In Marketplace Deman...
AI-Powered Diagnosis Of Vision-Threatening Ocular Conditions Using Clinical Data Analytics
Vision-threatening Ocular Diseases Such As Diabetic Retinopathy, Glaucoma, Cataract, Age-related Macular Degeneration (AMD), Hypertensive Retinopathy And Pathological Myopia Are Leading Causes Of Preventable Blindness Worldwide. Conventiona...
Predictive Power Machine Learning Models For Machine Failure Status
Predictive Maintenance Has Emerged As A Cornerstone For Maximizing Operational Efficiency And Minimizing Unexpected Machine Breakdowns In Industrial Environments. This Paper Presents An Integrated End-to-end Machine Learning Framework For F...