{"id":22116155,"url":"https://github.com/blacksujit/forest-fire-prediction","last_synced_at":"2025-09-05T11:33:02.755Z","repository":{"id":246831324,"uuid":"820366228","full_name":"Blacksujit/Forest-fire-Prediction","owner":"Blacksujit","description":"This project aims to predict the occurrence of forest fires using machine learning. 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The project includes a Flask-based application that serves both backend (for model training and prediction) and frontend (for user interaction).\n\n# Link For Project:\n\nhttps://forest-fire-prediction-of6q.onrender.com/\n\n# Web Page: (Created with ❤ using Threejs Models)\n\n![alt text](image.png)\n\n## Folder Structure\n\n- `app.py`: Main application file combining both frontend and backend.\n- `model/`: Contains the trained model and script to train the model.\n- `requirements.txt`: Dependencies for the project.\n- `static/`: Static files (CSS, JS).\n- `templates/`: HTML templates.\n- `data/`: Folder containing the dataset.\n\n## DATASET  INFORMATION:\n\nDownload the dataset from [UCI Machine Learning Repository](https://archive.ics.uci.edu/ml/datasets/Forest+Fires) and place the `forestfires.csv` file in the `data/` folder.\n\n## Installation\n\n1. Clone the repository:\n\n     ```bash\n     git clone https://github.com/Blacksujit/Forest_fire_Prediction.git\n     ```\n\n2. Install the dependencies:\n    ```bash\n    pip install -r requirements.txt\n    ```\n\n3. Run the application:\n    ```bash\n    python app.py\n    ```\n4. Open your browser and go to `http://127.0.0.1:5000` to use the application.\n\n## License\n\nThis project is licensed under the MIT License.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fblacksujit%2Fforest-fire-prediction","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fblacksujit%2Fforest-fire-prediction","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fblacksujit%2Fforest-fire-prediction/lists"}