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The model utilizes real-time weather data from OpenWeather.org, allowing users to input a city name to retrieve relevant weather information and receive a prediction output.\n\n\n## Deployment\nthis project has been deployed using streamlit cloud.\n\nhttps://cloud-burst-prediction.streamlit.app/\n\n## Page view\n![Streamlit Page](https://github.com/pradeish29/cloud-burst-predict/blob/main/Streamlit_page.jpg)\n\n## Features\n- **Real-time Weather Data**: Integration with OpenWeather.org provides up-to-date weather information.\n- **User-Friendly Interface**: Streamlit app allows users to easily input city names and view prediction outputs.\n- **Random Forest Model**: Utilizes a trained Random Forest model to predict cloud burst occurrences based on weather data.\n\n## Usage\nTo use the application:\n1. Clone the repository to your local machine.\n2. Install the necessary dependencies using `pip install streamlit joblib requests bz2file`.\n3. Check and modify the path for certain files in the code\n4. Run the `model.ipynb` file \n5. Run the Streamlit app by executing `streamlit run app.py` in your terminal.\n6. Access the app via the provided local URL in your browser.\n7. 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