ankitrajput77/AlgerianForestFirePrediction

Algerian Forest Fire Prediction Using ML Models that can predict the FWI value for given parameters. # Algerian Forest Fire Prediction This project aims to predict forest fire incidents in Algeria using machine learning techniques. By analyzing various factors such as weather conditions, vegetation indices, and historical fire data, we aim to develop a model that can accurately predict the occurrence and severity of forest fires in Algeria. ## Dataset The dataset used for this project consists of historical forest fire records and relevant environmental variables collected from different regions of Algeria. The dataset includes features such as temperature, wind speed, Rain, Region, Classes and the occurrence of forest fires. ## Installation 1. Clone the repository: ```bash git clone github.com 2. cd AlgerianForestFirePrediction 3. pip install -r requirements.txt 4. python application.py 5. Run - [127.0.0.1] ## InAction ## Contributing Contributions to this project are welcome. If you find any issues or have ideas for improvement, please open an issue or submit a pull request. ## License This project is licensed under the MIT License.