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BLOOD GROUP DETECTION USING FINGERPRINT
Fingerprint-based Blood Group Detection Is An Innovative And Emerging Technique That Integrates Deep Learning And Image Processing To Predict An Individual's Blood Type From Fingerprint Patterns. This Method Leverages The Correlation Betwee...
Driver Drowsiness Detection Using Machine Learning
Driver Drowsiness Is One Of The Leading Causes Of Road Accidents Worldwide, Posing A Significant Threat To Human Life And Road Safety. This Paper Presents A Real-time Driver Drowsiness Detection System Employing Convolutional Neural Network...
AI-POWERED INDIAN MEDICINAL PLANT IDENTIFICATION AND INFORMATION SYSTEM USING DEEP LEARNING AND COMPUTER VISION TECHNOLOGY
Good Identification Of Medicinal Plants Is The Key To Maintaining The Traditional Knowledge Systems And Safe Use Of Herbs. Physical Identification Of Plants Is Time Consuming And Subject To Errors Especially Where Species Have The Same Morp...
Detection of Diabetic Retinopathy Using a Multi-Decision Inception-ResNet Blended Hybrid Model
Diabetic Retinopathy (DR) Represents A Critical Complication Of Diabetes Mellitus, Leading To Progressive Vision Impairment And Potential Blindness If Left Undetected. This Research Presents A Novel Multi-decision Inception-ResNet Blended H...
AI-Synthesised Solo Podcast Platform For Knowledge Enhancement
Digital Content Creation Has Seen A Massive Surge, Yet Solo Creators Often Face Technical Hurdles In Scriptwriting And Professional Audio Production. This Paper Presents 'Podcastr', An Innovative Platform Designed To Automate The End-to-end...
REAL-TIME VIOLENCE DETECTION SYSTEM USING YOLOV11 AND DEEP LEARNING
The Widespread Deployment Of Surveillance Systems Has Resulted In Continuous Generation Of Large-scale Video Data, Creating Challenges In Timely Identification Of Violent Incidents Such As Physical Assaults And Aggressive Behavior. Conventi...
An Integrated Real-Time Road Surveillance System Using YOLOv8 For Multi-Class Object Detection
The Growing Number Of Road Accidents Worldwide Necessitates The Deployment Of Intelligent Systems Capable Of Continuously Monitoring Roadway Conditions. This Paper Introduces A Comprehensive Computer Vision Framework Designed To Detect Vari...
Real-Time Sign Language Interpretation Using Deep Learning
Sign Language Serves As The Primary Mode Of Communication For Millions Of Hearing-impaired Individuals Worldwide, Yet The Gap Between The Deaf Community And The Hearing World Remains A Significant Barrier. This Paper Presents A Comprehensiv...
YOLO-BASED AUTOMATED PCB DEFECT DETECTION AND QUALITY ASSESSMENT SYSTEM FOR SMART MANUFACTURING
Printed Circuit Boards (PCBs) Serve As The Structural And Electrical Foundation Of Virtually Every Modern Electronic Device, Making Their Quality And Reliability Paramount In Both Consumer And Industrial Electronics. Defects Introduced Duri...
DEEPTRACENET: AN AI DRIVEN FRAMEWORK FOR MATHEMATICAL FEATURE-BASED FORGERY DETECTION
The Rapid Growth Of Deepfake Technologies Has Raised Serious Concerns Regarding The Authenticity Of Digital Images And Videos, Impacting Information Security, Media Credibility, And Forensic Analysis. This Research Presents A Deep Learning-...
Plant Disease Detection Using Deep Learning
Agriculture Plays A Crucial Role In Global Food Security, And Plant Diseases Represent One Of The Most Significant Threats To Crop Productivity And Quality Worldwide. Traditional Methods Of Disease Identification Rely Heavily On Manual Insp...
A Review On Estimating Cloud Performance Metrics Using Machine Learning And Deep Learning Models
Data Driven Cloud Computing Model Have Resulted In Unprecedented Paradigm Shifts In Cloud Application Development. Many Applications Have Found Data Driven Cloud Computing Models Indispensable Due To The Need For High Performance Computing....
AI -POWER BASED BLIND AND VISUALLY IMPAIRED SYSTEM FOR SMART GLASS
Visual Impairment Creates Major Challenges In Daily Life And Mobility, As Individuals Often Struggle To Detect Obstacles And Recognize People Around Them. To Address These Issues, Smart Assistive Technologies Play A Vital Role In Improving...
Intelligent Network Traffic Prediction Using Graph Neural Networks
The Widespread Deployment Of Wireless Communication Technology Has Made The Wi-Fi Network More Susceptible To Sophisticated Cyber-attacks, Which Include De-authentication Attacks, Rogue Access Points, Traffic Flooding, And Protocol Misuse....
Fruits Freshness Detection Quality And Nutritional Analysis Using Machine Learning
In The Context Of The Food Processing Industry In The Present Day, It Is Evident That The Freshness And Quality Of Fruits Play A Major Role In Maintaining The Health And Wellness Of Consumers, Reducing Food Product Waste, And Maximizing The...