GenDan

Overview

GenDan revolutionizes precision medicine by integrating genetic data with advanced analytics to identify and manage genetic disorders. This application is built with Python and incorporates robust encryption mechanisms, AI-powered analysis, and scalable architecture.

Key Features

• Military-Grade Security: Hybrid encryption combining RSA, Fernet, and HMAC.
• Scalable Architecture: Event-Driven Design using Kafka and RabbitMQ.
• AI-Driven Insights: Integrates OpenCV, ONNX, and NVIDIA Triton for high-performance analytics.
• Cross-Platform Accessibility: Compatible with all major devices and platforms.

Quick Start

Prerequisites

• Python 3.11 or higher
• Docker
• Pip

Installation

1. Clone the repository:

    git clone https://github.com/rfc391/GenDan.git
    cd GenDan
   

2. Install dependencies:

   pip install -r requirements.txt
   

3. Run tests to ensure functionality:

   pytest
   

Deployment

1. Build and deploy using Docker:

   ./deploy.sh
   

2. The application will be available at http://localhost:8080.

Testing

Tests are located in the tests directory. To execute:

pytest

Contributing

1. Fork the repository.
2. Create a new branch for your feature or bug fix.
3. Submit a pull request.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Contact

For inquiries or support, please open an issue or contact the maintainers directly.

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