Mansukh - Mental Health Chatbot

Mansukh is a mental health chatbot designed to provide support and guidance for users. It leverages pre-trained models and advanced NLP techniques to assess mental health characteristics and offer tailored recommendations.

DEMO chatbot images below.....

Features

• User-friendly chatbot for web and mobile applications.
• Pre-trained models for handling basic inquiries and mental health information.
• Scoring system to calculate topic scores for mental health characteristics.
• Tailored funnels for specific mental health domains.
• Expert referrals with user consent.
• Continuous model improvement based on feedback and new data.

Technology Stack

• Backend: Python, Flask

• Machine Learning: HuggingFace Transformers, LangChain

• Database: MySQL

• Frontend: HTML, CSS

• AI Models: Zephyr-7b-beta

• Development Tools:

  • Gradio for interactive UI
  • Docker for containerization
  • GitHub Actions for CI/CD
  • Pytest for testing

  Workflow

  

  Folder Structure

Future Goals

1. Advanced AI Integration

   • Implement GPT-4 integration for enhanced conversational abilities
   • Add multilingual support using advanced language models
   • Develop emotion detection from text input

2. Platform Enhancement

   • Real-time voice interaction capabilities
   • Mobile application development (iOS/Android)
   • Integration with wearable devices for mood tracking

3. Security & Compliance

   • HIPAA compliance implementation
   • Enhanced data encryption
   • OAuth 2.0 authentication
   • Regular security audits

4. Analytics & Monitoring

   • Advanced analytics dashboard
   • User interaction metrics
   • Model performance monitoring
   • A/B testing framework

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/Mansukh.git

2. Navigate to the project directory:

   cd Mansukh

3. Install dependencies:

   pip install -r requirements.txt

4. Run the application:

   python run.py

DEMO

Contributing

We welcome contributions to Mansukh! Here's how you can help:

1. Setting up development environment

   • Fork the repository
   • Create a virtual environment: python -m venv venv
   • Activate it: source venv/bin/activate (Linux/Mac) or venv\Scripts\activate (Windows)
   • Install dev dependencies: pip install -r requirements.txt

2. Making Changes

   • Create a new branch: git checkout -b feature/your-feature-name
   • Follow our coding standards (PEP 8 for Python)
   • Write tests for new features
   • Update documentation as needed

3. Submitting Changes

   • Run tests: pytest
   • Commit your changes: git commit -m "Description of changes"
   • Push to your fork: git push origin feature/your-feature-name
   • Submit a Pull Request with a clear description of the changes

4. Areas We Need Help With

   • UI/UX improvements
   • Documentation
   • Test coverage
   • Model optimization
   • Security enhancements

Please ensure your PR adheres to our code of conduct and includes appropriate tests and documentation.

License

This project is licensed under the MIT License.