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AIML-Based Quality Assurance System For Agricultural Products Using Tensorflow
Agricultural Product Quality Assessment Plays A Critical Role In The Global Food Supply Chain, Directly Impacting Market Pricing, Consumer Safety, And Post-harvest Optimization. Traditional Methods Rely Heavily On Human Vision And Manual So...
Urban Air Pollution Assessment And Control Measures: A Case Study Of Pune City
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 Amb...
Textile Industry & Its Growing Impact On Environment: Detailed Study On The Flourishing Industry And Its Critical Drawbacks
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, Significa...
Smart Mobile Healthcare Application With Secure Medical Record Management And Real-Time Patient-Doctor Communication
The Smart Mobile Application Is An Advanced Digital Platform Developed To Streamline Communication And Service Management Between Patients And Doctors Through A Secure And User Friendly Mobile Environment. The System Is Designed With Two Pr...
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...
An Optimized Machine Learning Model For Forecasting Traffic Speeds In Urban Environments
The Potential For Data Collecting And Analytics-based Intelligent Traffic Systems (ITS) To Improve Traffic Systems Is Now Being Investigation. Predicting How Fast Traffic Will Be Moving Is One Of The Most Important Uses For This Technology....
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...
Explainable Deep Neural Network Based Multiclass Classification Of Tomato Leaf Disease
Tomato Leaf Diseases Pose A Persistent Challenge To Sustainable Crop Production, Requiring Accurate And Computationally Efficient Diagnostic Solutions For Real-time Field Applications. This Study Proposes A Hybrid Deep Learning Framework Th...
AI-Driven Malicious URL Detection Using Machine Learning, Deep Learning, And Secure Full-Stack Web Integration With CI/CD Pipeline
The Pervasive Adoption Of Digital Platforms Has Precipitated A Concomitant Escalation In Phishing Attacks, Wherein Malicious Uniform Resource Locators (URLs) Serve As The Primary Vector For Credential Theft, Financial Fraud, And Malware Dis...
Autonomous Human Violence Detection In Smart Surveillance
Autonomous Human Violence Detection Has Become An Essential Component In Modern Smart Surveillance Systems Due To The Increasing Demand For Public Safety And Automated Monitoring. Traditional Surveillance Methods Rely Heavily On Continuous...
Smart Community & Service Hub For Efficient Residential Society Management
Smart Community & Service Hub Is A Mobile-based Application Developed To Provide A Secure, Efficient, And Digitally Connected Platform For Residential Society Management. Traditional Society Management Systems Are Often Manual, Time-consumi...
Krishi AI: Intelligent Chatbot For Agricultural Advisory And Market Access
Agriculture Plays A Vital Role In India’s Economy, Yet Farmers Face Multiple Challenges Such As Lack Of Real-time Information, Poor Access To Markets, And Limited Technological Support. This Paper Presents Krishi AI, An Intelligent AI-based...
Hybrid Intelligence For Financial Forecasting Uniting LSTM With XG Boost
Predicting Price Of Any Stock Is Difficult To Achieve Because Of Volatility Of Market Conditions. In Fraction Of Seconds Markets Go Up And Down, Fluctuations And Mood Of The Investor These Makes Traditional Methods Less Accurate To Predict....
Smart Medicare Hub: An Integrated AI-Based Hospital Management System
This Paper Presents Smart Medicare Hub, An Ad- Vanced Integrated Hospital Management System Developed Using Flutter And Firebase. The System Automates Hospital Operations By Connecting Departments Such As Patient Registration, Phar- Macy, L...
BIOSIGNAL SMOCKING DETECTION OF X-RAY IMAGES
Lung Diseases Such As Viral Pneumonia And Smoking-induced Lung Damage Are Major Global Health Concerns Responsible For Millions Of Deaths Each Year. Early And Accurate Detection Of These Conditions Is Essential For Timely Medical Interventi...