Wanga-github/agri-AI

# 🚜 AI-Powered Agriculture Yield Predictor An intelligent machine learning system for predicting crop yields based on environmental and agricultural factors. Supports **SDG 2: Zero Hunger** by helping farmers optimize productivity and resource allocation. ## 🌟 Features - **ML-Powered Predictions**: Random Forest model with 85%+ accuracy - **Smart Recommendations**: Actionable insights on irrigation, fertilization, and soil management - **Web Dashboard**: User-friendly interface for predictions and analytics - **RESTful API**: Easy integration with existing systems - **Docker Support**: Quick deployment with containerization ## 📊 Tech Stack - **Backend**: Flask (Python) - **ML**: scikit-learn, pandas, numpy - **Frontend**: Bootstrap 5, JavaScript - **Deployment**: Docker, Gunicorn ## 🚀 Quick Start ### Prerequisites - Python 3.8+ - pip - (Optional) Docker ### Installation 1. **Clone the repository** ```bash git clone cd agriculture-yield-predictor