SakshiD1208/Algerian_Fire_FWI_Prediction

# 🔥 Algerian Forest Fire Prediction - FWI Predictor This is a Flask web application that predicts the **Fire Weather Index (FWI)** for Algerian forest regions using a trained Ridge Regression machine learning model. The model was trained using weather and fire data, and the app allows users to input environmental variables and receive real-time predictions. --- ## 🚀 Features - 🔢 Input weather and fire risk parameters (e.g., RH, temperature, wind speed) - 🧠 Predicts the Fire Weather Index (FWI) using a trained Ridge model - 🌐 User-friendly web interface using Flask and HTML - 📦 Package dependencies managed via `requirements.txt` - ✅ Scalable and ready for deployment --- ## 🖥️ Tech Stack - **Frontend:** HTML, Jinja2 (Flask templating) - **Backend:** Flask (Python) - **ML Model:** Ridge Regression (`scikit-learn`) - **Visualization:** Matplotlib, Seaborn (for EDA) - **Deployment Ready:** Render / GitHub Pages / Heroku --- ## 📁 Project Structure