Nishit-soni-01/Algerian-Forest-Fire-Prediction

# Algerian Forest Fire Prediction (FWI) A machine learning web application that predicts the **Fire Weather Index (FWI)** based on meteorological data from the Bejaia and Sidi Bel-abbes regions of Algeria. ## 🚀 Features * **Machine Learning:** Uses a Ridge Regression model for accurate FWI prediction. * **Web Interface:** Built with Flask and styled with Bootstrap for a modern UI. * **Deployment Ready:** Configured for AWS Elastic Beanstalk. ## 🛠️ Tech Stack * **Language:** Python * **ML Libraries:** Scikit-learn, Pandas, NumPy * **Web Framework:** Flask * **Frontend:** HTML5, CSS3, Bootstrap 5 ## 📊 How to Run Locally 1. Clone the repo: `git clone github.com` 2. Install dependencies: `pip install -r requirements.txt` 3. Run the app: `python application.py` 4. Visit `127.0.0.1` in your browser.