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SMART USED VEHICLE PRICE PREDICTION AND MARKET SYSTEM
The Used Vehicle Market Has Experi- Enced Significant Growth In Recent Years, Making It Challenging For Buyers And Sellers To Determine Accurate Vehicle Prices. Traditional Pricing Meth- Ods Often Rely On Personal Judgment, Which May Lead T...
A Comprehensive Review Of AI-Based Construction Site Safety Monitoring Using Computer Vision And Deep Learning
Construction Site Safety Is A Serious Concern Due To The Complex And Risky Nature Of Construction Activities. Traditional Safety Monitoring Methods, Such As Manual Supervision And CCTV Systems, Are Commonly Used But Have Several Limitations...
BuySense: A Dual-Model Approach For Purchase Viability Prediction Using Amazon Review Data
This Paper Presents The BuySense, A Machine Learning Application That Predicts Whether A Product Is Worth Purchasing Based On Amazon Review Text Data. The System Builds Two Independent Binary Classifiers—a Viability Model And A Regret Model...
UPI FRAUD DETECTION USING MACHINE LEARNING
This Paper Presents A UPI Fraud Detection System Using Machine Learning Techniques To Identify And Prevent Fraudulent Digital Payment Transactions. With The Rapid Growth Of Unified Payments Interface (UPI) Transactions In India, Cyber Fraud...
AI-Powered Personalized Fitness Planner For Students
Student Health And Physical Fitness Are Increasingly Neglected Due To Academic Workload, Irregular Schedules, And Lack Of Personalized Guidance. This Paper Presents An AI- Powered Personalized Fitness Planning System Tailored Specifically F...
REAL –TIME AI INTRUSION DETECTION SYSTEM USING MACHINE LEARNING
The Relentless Escalation Of Cyber Threats In Contemporary Network Environments Has Necessitated A Fundamental Rethinking Of Intrusion Detection Methodologies. Traditional Signature-based Systems, While Once Sufficient, Have Proven Structur...
Real-Time Detection Of Forest Fires Using FireNet-CNN And Explainable AI Techniques
This Study Proposes FireNet-CNN, A Lightweight And Efficient Deep Learning Model For Real-time Forest Fire Detection Using Convolutional Neural Networks (CNN) And Explainable AI (XAI) Techniques. The Model Was Trained And Evaluated On Augme...
ONLINE CHATBOT FOR STUDENT INFORMATION SYSTEM
The Online Chatbot For Student Information System Is An Intelligent Web-based Application Designed To Provide Quick And Automated Responses To Student Queries Related To Academic And Institutional Information. Traditional Student Support Sy...
SMART MEDSAFE AI APPLICATION
The AI-Based Drug Interaction Detection System Is A Smart And User-friendly Healthcare Application Developed To Improve Medication Safety By Detecting Harmful Drug Interactions. The System Allows Patients, Doctors, And Guests To Enter Medic...
GridShield: Secure Smart Meter Communication And Intelligent Energy Theft Detection System
Electricity Theft Is One Of The Major Challenges Faced By Power Distribution Systems, Especially In Developing Countries Like India. Traditional Electricity Monitoring Systems Mainly Depend On Manual Inspection And Basic Monitoring Techniqu...
Digital Memory Map: A Visual Object Memory System Using AI
The Digital Memory Map System Is An AI-based Intelligent Object Tracking Application Designed To Help Users Locate Frequently Misplaced Personal Items Such As Mobile Phones, Wallets, Keys, Bottles, And Other Daily-use Objects. Traditional M...
Enhancing The Recommendation Model For Disease Prediction Based On User Symptoms Using Machine Learning
Healthcare Is One Of The Most Important Research Fields With The Rapid Improvement Of Technology And Increase In Data. It Is Difficult To Handle Huge Amounts Of Patient Data. Big Data Analytics Can Be Used To Handle Such Data. There Are A L...
Enhanced Deepfake Detection Using ResNet50 And Facial Landmark Analysis
This Research Focuses On Accuracy Enhancement In The Detection Of Deepfakes Using The ResNet50 Algorithm Designed Through Deep Learning. It Analyzes Anomalies In Artificial Facial Images. Materials And Methods: The Two Implemented Deep Lear...
Classification Of Oral Cancer From White Light Image Using A Machine Learning Algorithm For Enhanced Accuracy
This Research Aims To Develop A New Framework For The Early Identification Of Oral Cancer Through Multimodal Data Fusion With LSTM Networks And CNNs. The Performance Of The Proposed Framework Is Tested For Sensitivity, Specificity, And Accu...
Customer Sales Predication Using Artifical Intelligence
Customer Churn Prediction Is An Important Research Problem In Business Analytics That Helps Organizations Identify Customers Who Are Likely To Discontinue Their Services. This Paper Proposes A Machine Learning-based Churn Prediction Framewo...