** SeismicSpaceAI ** is an integrated machine learning-based system designed to predict earthquakes and cosmic weather events. By leveraging NASA's open data and other relevant datasets, this project aims to provide advanced warnings and potential impact assessments to help mitigate the effects of these natural phenomena.
- Predictive Modeling: Advanced machine learning models to predict earthquake magnitudes and cosmic weather indices.
- Data Integration: Combines seismic data with cosmic weather data for comprehensive predictions.
- Interactive Dashboard: User-friendly interface to visualize predictions and real-time data.
- Alert System: Provides early warnings and impact assessments.
- Clone the repository:
git clone https://github.com/amirulsizan/SeismicSpaceAI cd EarthCosmosPredict
To train the models and generate predictions, run:
python train.py
##To start the interactive dashboard, run:
streamlit run app.py
- Earthquake Prediction Model: Utilizes features like seismic waveforms, ground motion parameters, and historical earthquake data.
- Cosmic Weather Prediction Model: Incorporates data on solar activity, geomagnetic storms, and cosmic ray flux.
- Integrated Model: Combines earthquake and cosmic weather predictions using ensemble techniques for enhanced accuracy.
- Earthquake Data: USGS Earthquake Hazards Program
- Cosmic Weather Data: NOAA Space Weather Prediction Center
- NASA Earth Data: NASA Earthdata
We welcome contributions from the community. To contribute:
- Fork the repository.
- Create a new branch for your feature or bugfix.
- Make your changes and commit them with descriptive messages.
- Push your changes to your fork and submit a pull request.
This project is licensed under the MIT License. See the LICENSE file for more details.
SeismicSpaceAI - Integrating Earthquake and Cosmic Weather Predictions for a Safer World