Dark Matter Predictor
Dark Matter Predictor is a machine learning project aimed at predicting the presence of dark matter in various regions of space. By analyzing astrophysical data, this tool helps researchers identify potential dark matter concentrations, contributing to our understanding of the universe's composition.
Features
- Predicts dark matter presence using advanced ML algorithms
- Analyzes large datasets of astrophysical observations
- Provides visualizations of predicted dark matter distributions (Upcoming)
Tech Stack
- Python
- Scikit-learn
- NumPy
- Matplotlib
- Flask
- Bootstrap
Future Plans
- Develop a mobile application for easier access to predictions
- Use real observational data for training models
- Integrate more complex datasets for improved accuracy
- Enhance visualization features for better data interpretation
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