Utkgitdev-07/Algerian_forest_fires_prediction_project

Algerian Forest Fire Prediction Predict forest fires in Algeria using machine learning. The project uses meteorological data to build models for early fire detection, helping mitigate environmental and economic damage. Includes data preprocessing, model training, evaluation scripts, and result analysis. Contributions welcome! # Algerian Forest Fire Prediction Predict forest fires in Algeria using machine learning. The project uses meteorological data to build models for early fire detection, helping mitigate environmental and economic damage. Includes data preprocessing, model training, evaluation scripts, and result analysis. Contributions welcome! ## Project Overview Forest fires are a significant environmental concern, causing severe ecological damage and economic loss. This project leverages historical data on forest fires in Algeria to build a predictive model that can forecast the occurrence and severity of fires. Accurate predictions can help authorities take preventive measures. ## Dataset The dataset used in this project is derived from the Algerian Forest Fires dataset and includes: - **Date**: The date of the observation. - **Temperature**: The temperature in degrees Celsius. - **RH**: Relative Humidity in percentage. - **Ws**: Wind speed in km/h. - **Rain**: Rainfall in mm. - **FFMC**: Fine Fuel Moisture Code. - **DMC**: Duff Moisture Code. - **DC**: Drought Code. - **ISI**: Initial Spread Index. - **BUI**: Buildup Index. - **FWI**: Fire Weather Index. - **Classes**: Fire occurrence (1 for fire, 0 for no fire). ## Project Structure The repository is structured as follows: - `dataset/`: Contains the dataset files. - `notebooks/`: Jupyter notebooks for data exploration, preprocessing, and model building. - `models/`: Saved machine learning models. - `results/`: Results and evaluation metrics of the models. - `README.md`: Project overview and setup instructions. ## Getting Started To get started with the project, follow these steps: ### Step 1: **Clone the repository:** ```sh git clone github.com cd algerian-forest-fire-prediction ### Step 2:Create Environment & Install the required packages In Powershell 1) python -m venv env 2) \env\Scripts\activate Install the dependencies listed in the requirements.txt fi …