Bhukamp (भूकंप - meaning "earthquake" in Hindi) is an intelligent seismic forecasting platform designed specifically for the Indian subcontinent. Using cutting-edge machine learning and real-time geological data, we help communities prepare for and respond to seismic events.
Our mission is to increase earthquake awareness and promote disaster preparedness across India through advanced AI-powered predictions and comprehensive risk analysis.
- Live Indian Subcontinent Earthquake Tracking: Real-time data from USGS Earthquake API
- Instant Alert System: Customizable magnitude-based alerts with sound notifications
- Multi-Language Support: Available in English and Hindi with more languages coming soon
- Advanced ML Models: Random Forest, LSTM, and Physics-Informed Neural Networks (PINN)
- Regional Data Training: Models specifically trained on Indian subcontinent seismic patterns
- Multiple Prediction Types:
- Real-time earthquake prediction
- Future seismic activity forecasting
- Susceptibility mapping
- Historical Data Analysis: Extensive visualization of past earthquake patterns
- Risk Assessment: Detailed magnitude and depth-based risk evaluation
- Statistical Insights: Magnitude distribution, depth analysis, and regional activity tracking
- Responsive Design: Works seamlessly on desktop and mobile devices
- Dark/Light Themes: Customizable themes for better user experience
- Glass-morphism Design: Modern, beautiful UI with smooth animations
- Interactive Dashboards: Real-time data visualization with dynamic charts
- Python 3.8 or higher
- pip package manager
-
Clone the repository
git clone https://github.com/SupravoCoder/Bhukamp.git cd Bhukamp -
Install dependencies
cd myproject pip install -r requirements.txt -
Run the application
streamlit run Bhukamp_app.py
-
Open your browser Navigate to
http://localhost:8501to access the application.
StreamlitPython/
├── myproject/
│ ├── Bhukamp_app.py # Main application file
│ ├── requirements.txt # Python dependencies
│ ├── pages/
│ │ ├── Historical_Analysis.py # Historical earthquake data analysis
│ │ ├── Predictor_Earthquake.py # ML prediction interface
│ │ ├── India_Live_Feed.py # Real-time earthquake feed
│ │ └── Susceptibility Predictor.py # Susceptibility mapping
│ ├── data/ # Earthquake datasets and predictions
│ ├── static/ # Static assets (images, sounds)
│ └── animations/ # Animation files
├── models/ # Pre-trained ML models
├── Susceptability_pred_ML/ # ML model development notebooks
└── Internship_Project_Updated.ipynb # Main research notebook
- Purpose: Real-time earthquake prediction and susceptibility mapping
- Features: Latitude, longitude, depth, historical patterns
- Accuracy: 85%+ on test data
- Purpose: Time-series earthquake forecasting
- Features: Sequential seismic data, temporal patterns
- Use Case: Future earthquake prediction (25-100 years)
- Purpose: Physics-based seismic modeling
- Features: Geological constraints, physical laws
- Advantage: Incorporates domain knowledge
- Real-time Data: USGS Earthquake API
- Historical Data: Comprehensive earthquake catalogs for Indian subcontinent
- Features: Magnitude, location, depth, time, geological characteristics
- Coverage: 1900-2024 earthquake records
| Member | Role | Expertise |
|---|---|---|
| Supravo Biswas | 🔬 Full Pipeline Developer & ML Contributor | Streamlit, Full Stack, ML, Data Analysis |
| Suvanjan Das | 🧠 Project Coordinator | Data Science, Machine Learning, Scientific Writing, Seismology |
| Abir Saha | 🌍 ML Model Validator & Feature Engineer | Seismology, ML Validation, Web Development |
| Arja Banerjee | 📚 Scientific Machine Learning | Machine Learning, Deep Learning, Scientific Modelling and Writing, Seismology |
| Sayan Rana | 📊 Data Scientist & ML Contributor | Statistics, Feature Engineering |
| Iqbal Shaikh | 🎨 ML Contributor | Machine Learning, Python |
- Frontend: Streamlit, HTML, CSS, JavaScript
- Backend: Python, Pandas, NumPy
- Machine Learning: Scikit-learn, TensorFlow, Keras
- Data Visualization: Plotly, Matplotlib, Seaborn
- APIs: USGS Earthquake API, Custom ML inference
- Database: SQLite for notifications, CSV for data storage
- Customizable magnitude thresholds
- Sound alerts and visual notifications
- Multi-channel notification support
- Emergency contact integration
- Interactive map visualization
- Adjustable prediction parameters
- Model comparison tools
- Export functionality for predictions
- Time-series visualization
- Magnitude-frequency relationships
- Regional seismic patterns
- Statistical trend analysis
- Mobile app development
- WhatsApp Business API integration
- Government alert system integration
- Advanced geological feature integration
- Community reporting system
- Multi-platform deployment
This project is licensed under the MIT License - see the LICENSE file for details.
We welcome contributions! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.
- Email: supravo.biswas@gmail.com
- GitHub: @SupravoCoder
- Project Link: https://github.com/SupravoCoder/Bhukamp
- USGS for providing real-time earthquake data
- Indian Meteorological Department for historical seismic data
- Open-source community for amazing tools and libraries
- Our mentors and guides for continuous support
Built with ❤️ by Team Bhukamp for a safer India
"In the face of nature's unpredictability, knowledge and preparation are our strongest defenses."