Tkinter-based multi-disease classification prototype combining Random Forest, SVM, and XGBoost models.
✨ AI-POWERED COFFEE QUALITY GRADING & EXPORT ENHANCEMENT SYSTEM — SRI LANKA PROJECT 25-26J-184 | 2025 🦠 Disease Detection & Yield Prediction 💰 Price Forecasting 🚚 Fertilizer,Pest Control & Resource planning 📊 Bean & Type Grading
Deep learning project for diabetes prediction using the Indian Diabetes Dataset. Includes data preprocessing, TensorFlow/Keras neural network training, and evaluation with accuracy, precision, recall, F1-score, confusion matrix, and ROC-AUC.
🌾 AI-powered agricultural advisory system for farmers - Crop recommendations, fertilizer guidance, disease detection, weather alerts & market prices. Built with FastAPI + PWA.
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