benlalaraid/AgraNovaWebApp

A Next.js mobile application for the AgraNova project, part of the Algerian AI Olympiades. This application provides smart agriculture solutions to help farmers make data-driven decisions. # AgraNova Web App A smart agriculture application developed for the Algerian AI Olympiades. ## Features - **Crop Disease Detection**: Identify plant diseases using AI-powered image analysis - **Water Irrigation Prediction**: Optimize water usage based on crop and location data - **Crop Recommendation**: Get ideal crop suggestions based on soil parameters - **Crop Yield Prediction**: Forecast crop yields using advanced AI models ## Tech Stack - Frontend: Next.js, React, TypeScript - Backend: Python Flask API with machine learning models - Models: XGBoost for yield prediction, Random Forest for crop recommendation ## Project Structure - `/frontend`: Next.js application - `/backend`: Python Flask API and ML models ## Getting Started ### Frontend ```bash cd frontend/agranova-app npm install npm run dev ``` ### Backend ```bash cd backend pip install -r requirements.txt python api/crop_recommendation_model.py python api/crop_yield_prediction_model.py ``` Visit `localhost` to see the application.