GreatClasher/algerian-forest-fire

# Algerian Forest Fire Prediction ## Overview This project focuses on predicting forest fire incidents in Algeria using machine learning models. The primary goal is to develop a system that can provide early warnings and assist in managing and mitigating the impact of forest fires. ## Features - Predicts forest fire incidents based on various environmental factors. - Utilizes the Fire Weather Index (FWI) for accurate predictions. - Web application for user-friendly interaction and predictions. - Integration of a Ridge Regression model for machine learning predictions. - Provides a user interface to input environmental data and receive predictions. ## Getting Started ### Prerequisites - Python 3.x - Flask - scikit-learn - Other dependencies (specified in requirements.txt) ### Installation 1. **Clone the repository:** ```bash git clone github.com pip install -r requirements.txt python app.py