nish0753/algerian-forest-fires

Machine learning-based web application for predicting forest fires in Algeria # Algerian Forest Fires Prediction This project is a machine learning-based web application that predicts the likelihood of forest fires in Algeria based on various environmental parameters. ## Features - Real-time fire prediction using machine learning - Interactive web interface - Input validation and error handling - Responsive design ## Technologies Used - Python - Flask - Scikit-learn - HTML/CSS - Bootstrap ## Setup Instructions 1. Clone the repository: ```bash git clone [your-repository-url] ``` 2. Install the required dependencies: ```bash pip install -r requirements.txt ``` 3. Run the application: ```bash python app.py ``` 4. Open your browser and navigate to `localhost` ## Project Structure - `app.py`: Main Flask application - `model.py`: Machine learning model implementation - `templates/`: HTML templates - `static/`: CSS and JavaScript files - `requirements.txt`: Project dependencies ## License This project is licensed under the MIT License - see the LICENSE file for details.