VentriCode is a cutting-edge medical diagnostic system that uses topological data analysis (TDA) to detect ventricular tachycardia from ECG signals.

• Core TDA algorithms for ECG analysis
• Topological feature extraction
• Data processing pipelines
• Machine learning models

• Web interface for ECG upload
• Real-time visualization
• Patient dashboard
• Results display

# Clone the repository
git clone https://github.com/sidjainnn/VentriCode.git
cd VentriCode

# Install dependencies
pip install -r requirements.txt

# Run analysis
python3 ecg_core_analysis.py

# Switch to frontend branch
git checkout frontend

# Install frontend dependencies
npm install

# Start development server
npm start

• ✅ Topological Data Analysis (TDA) for ECG signals
• ✅ Persistent homology computation
• ✅ Feature extraction for ventricular tachycardia detection
• ✅ Multi-patient batch processing
• ✅ Cross-platform compatibility

• 🔄 Interactive ECG visualization
• 🔄 Patient management system
• 🔄 Real-time analysis results
• 🔄 Medical report generation

Our system analyzes ECG signals using advanced mathematical techniques:

• Takens Embedding: Converts time series to point clouds
• Vietoris-Rips Persistence: Computes topological features
• Persistent Homology: Identifies abnormal cardiac patterns

• Work on main branch
• Core algorithms and data processing
• API development
• Machine learning models

• Work on frontend branch
• User interface development
• Visualization components
• User experience design

• Python 3.9+
• NumPy, Pandas, Scikit-learn
• Scikit-TDA, Giotto-TDA
• Plotly, Matplotlib

• React.js
• Material-UI
• D3.js for visualizations
• Node.js backend

This system is designed for medical hackathons with focus on:

• Real-world medical data analysis
• Innovative diagnostic techniques
• Interdisciplinary collaboration
• Healthcare impact

MIT License - See LICENSE file for details

1. Fork the repository
2. Create feature branch
3. Commit your changes
4. Push to the branch
5. Create Pull Request

VentriCode - Where Topology Meets Cardiology 🫀