🧠 MindCure - Revolutionary Mental Health AI Platform

MindCure is the world's first voice-first mental health platform powered by an ecosystem of specialized LiveKit AI agents. We've revolutionized mental healthcare by combining real-time voice therapy, browser automation, and intelligent agent orchestration in a single unified platform.

🌟 Revolutionary Features

🎤 Real-Time Voice AI Therapy

Gemini Live Integration for natural, empathetic conversations
Sub-250ms Latency through LiveKit's WebRTC infrastructure
Continuous Voice Processing with advanced turn detection
Therapeutic Context maintained across all specialist agents

🤖 8 Specialized AI Agents

Orchestrator Agent - Routes conversations to appropriate specialists
Task Generator Agent - Creates personalized mental health tasks
Productivity Agent - Goal tracking and habit formation coaching
Crisis Detection Agent - Emergency intervention and risk assessment
Therapist Matcher Agent - Professional therapy booking assistance
P2P Coordinator Agent - Anonymous peer support matching
Operator Agent - Browser automation with real-time narration
Gemini Live Agent - Primary voice therapy interface

👩‍⚕️ Professional Therapist Integration

Smart Matching algorithm based on conditions, location, and insurance
Real-time Booking system with availability management
Video/Voice Sessions via LiveKit integration
Insurance Verification and automated billing
Crisis-Priority Scheduling for urgent mental health needs

🤝 Peer-to-Peer Support Network

Anonymous Matching similar to Omegle but for mental health support
Mood-based Pairing using AI to connect compatible users
Safety Moderation with AI content filtering and crisis detection
Support Groups and community features

📈 Productivity Coaching

AI-Generated Tasks personalized to improve mental health
Habit Formation tracking and guidance
Integrated Scoring linking productivity to mental wellness
Progress Analytics and achievement systems

🚨 Crisis Intervention

Real-time Detection using LangChain agents and keyword analysis
Automatic Escalation to professional services
Emergency Contacts and crisis hotline integration
Safety Protocols and follow-up care coordination

🏗️ System Architecture

┌─── LangChain Multi-Agent System ────┐    ┌─── External Services ─────┐
│                                     │    │                           │
│  Master Orchestrator Agent         │    │  🔊 Kaggle GPU (Bark TTS) │
│  ├── Mental Health Agent           │◄───┤  🎤 Whisper STT           │
│  ├── Crisis Detection Agent        │    │  🧠 Gemini Pro LLM        │
│  ├── Therapist Matching Agent      │    │  📞 LiveKit RTC           │
│  ├── P2P Coordinator Agent         │    │  💾 PostgreSQL DB         │
│  ├── Productivity Agent            │    │  ⚡ Redis Cache            │
│  └── Task Generator Agent          │    │                           │
│                                     │    └───────────────────────────┘
└─────────────────────────────────────┘

🚀 Quick Start

Prerequisites

Python 3.12+ with pip
Node.js 18+ and npm
PostgreSQL 14+ database
Redis 6+ for caching
API Keys: Google Gemini, Kaggle, LiveKit

Backend Setup

cd backend
python -m venv venv
venv\Scripts\activate  # Windows
# source venv/bin/activate  # Linux/Mac

pip install -r requirements.txt

# Configure environment
cp .env.example .env
# Edit .env with your API keys

# Initialize database
python init_db.py

# Start backend server
python -m uvicorn app.main:app --reload --host 0.0.0.0 --port 8000

Frontend Setup

cd frontend
npm install

# Start development server
npm run dev

Kaggle TTS Setup

Upload kaggle/bark-tts-api.ipynb to Kaggle
Enable GPU (P100 or T4)
Install ngrok for API tunnel
Update BARK_TTS_ENDPOINT in .env

📚 API Documentation

Core Endpoints

Authentication: /api/v1/auth/ (register, login, refresh)
Mental Health: /api/v1/mental-health/ (AI therapy, scores, crisis)
Professional Therapy: /api/v1/therapists/ (search, book, sessions)
Peer Support: /api/v1/p2p/ (matching, connections, safety)
Productivity: /api/v1/productivity/ (tasks, goals, habits)
Crisis Support: /api/v1/crisis/ (emergency, resources, follow-up)

Interactive Documentation: http://localhost:8000/docs

🤖 LangChain Agent System

Multi-Agent Architecture

Master Orchestrator: Routes requests and maintains context
Mental Health Agent: Conducts therapeutic conversations
Crisis Detection Agent: Real-time risk assessment and escalation
Therapist Matching Agent: Intelligent professional matching
P2P Coordinator Agent: Safe peer support connections
Productivity Agent: Mental health-integrated task coaching
Task Generator Agent: Personalized task creation

🗄️ Database Schema

Core Tables

users: Account management and authentication
user_profiles: Mental health scores and preferences
therapists: Professional directory and credentials
sessions: Therapy and support session records
tasks: Mental health and productivity tasks
conversations: Session dialogue and analysis
p2p_matches: Peer support connections
crisis_events: Crisis detection and intervention
bookings: Professional therapy appointments

🔒 Security & Compliance

HIPAA Compliance

✅ End-to-end encryption for all communications
✅ Data anonymization for AI training
✅ Access controls and audit logging
✅ Secure data storage with encryption at rest
✅ Privacy by design principles

Security Features

JWT authentication with refresh tokens
API rate limiting and DDoS protection
Input validation and SQL injection prevention
CORS configuration for secure frontend integration
TLS/SSL encryption for all data transmission

📊 Performance Metrics

Response Times: API < 500ms, Voice < 5 seconds
Concurrent Users: 500+ simultaneous users
Database Performance: 1000+ QPS, <100ms latency
Uptime Target: 99.9% availability

🚀 Deployment

AWS Free Tier Deployment

# EC2 t2.micro instance setup
sudo apt update && sudo apt install -y python3.12 postgresql redis-server
git clone <repository-url>
cd mindcure/backend
python3 -m venv venv && source venv/bin/activate
pip install -r requirements.txt
python init_db.py
python -m uvicorn app.main:app --host 0.0.0.0 --port 8000

Docker Deployment

cd mindcure/
docker-compose -f aws/deployment/docker-compose.yml up -d

📁 Project Structure

mindcure/
├── backend/                # FastAPI backend with LangChain agents
│   ├── agents/            # LangChain multi-agent system
│   ├── app/               # FastAPI application core
│   ├── services/          # Business logic services
│   └── requirements.txt   # Python dependencies
├── frontend/              # React TypeScript frontend
│   ├── src/components/    # UI components
│   ├── src/pages/         # Application pages
│   └── src/services/      # API client services
├── kaggle/                # Bark TTS GPU processing
│   ├── bark-tts-api.ipynb # Kaggle notebook for TTS
│   └── deployment-scripts/ # Auto-restart and monitoring
├── aws/                   # Infrastructure and deployment
│   ├── infrastructure/    # EC2 setup scripts
│   ├── deployment/        # Docker compose files
│   └── monitoring/        # CloudWatch configuration
├── database/              # Database schemas and migrations
├── docs/                  # Comprehensive documentation
└── tests/                 # Test suites for all components

🛠️ Development

Code Quality

# Format code
black backend/app/ backend/agents/ backend/services/

# Lint code
flake8 backend/

# Type checking
mypy backend/

# Run tests
pytest backend/tests/ -v

Environment Configuration

Required environment variables in .env:

DATABASE_URL: PostgreSQL connection
REDIS_URL: Redis connection
GEMINI_API_KEY: Google Gemini API
KAGGLE_API_KEY: Kaggle API for TTS
BARK_TTS_ENDPOINT: TTS service URL
LIVEKIT_API_KEY: Real-time communication
JWT_SECRET: Authentication secret

🤝 Contributing

Fork the repository
Create feature branch: git checkout -b feature/amazing-feature
Commit changes: git commit -m 'Add amazing feature'
Push to branch: git push origin feature/amazing-feature
Open Pull Request

Development Guidelines

Follow PEP 8 style guidelines
Write comprehensive tests for new features
Update documentation for API changes
Ensure HIPAA compliance for health data
Test crisis detection and safety features thoroughly

📞 Crisis Resources

National Suicide Prevention Lifeline: 988
Crisis Text Line: Text HOME to 741741
International Association for Suicide Prevention: https://www.iasp.info/resources/Crisis_Centres/

📄 License

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

🙏 Acknowledgments

LangChain for the multi-agent framework
FastAPI for the modern web framework
Kaggle for free GPU access for TTS processing
Mental health professionals who provided guidance
Open source community for invaluable tools and libraries

⚠️ Important Medical Disclaimer

MindCure is designed to support mental health and wellness but is not a substitute for professional medical advice, diagnosis, or treatment. Always seek the advice of qualified health providers with questions about mental health conditions. In case of emergency or crisis, contact local emergency services immediately.

🔒 Privacy Notice

Your privacy and data security are our top priorities. All data is encrypted, anonymized where possible, and handled in compliance with HIPAA regulations. We never share personal information without explicit consent.

Built with ❤️ for mental health and wellness

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
aws		aws
backend		backend
frontend		frontend
n8n-workflows		n8n-workflows
.env.example		.env.example
.gitignore		.gitignore
GEMINI.md		GEMINI.md
LIVEKIT_ENHANCEMENTS.md		LIVEKIT_ENHANCEMENTS.md
MindCure_Agent_Journey_Visualization.ipynb		MindCure_Agent_Journey_Visualization.ipynb
README.md		README.md
architecture.md		architecture.md
enhanced_browser_automation_test_report.json		enhanced_browser_automation_test_report.json
fix_installation.py		fix_installation.py
install_clean.ps1		install_clean.ps1
install_mindcure_agents.ps1		install_mindcure_agents.ps1
install_mindcure_agents_fixed.ps1		install_mindcure_agents_fixed.ps1
launch_mindcure.ps1		launch_mindcure.ps1
livekit_comparison_analysis.md		livekit_comparison_analysis.md
package-lock.json		package-lock.json
package.json		package.json
plan.md		plan.md
run_mindcure_agents.py		run_mindcure_agents.py
setup_browser_automation.py		setup_browser_automation.py
simple_gemini_agent.py		simple_gemini_agent.py
start_agent_test_environment.ps1		start_agent_test_environment.ps1
start_agent_worker.ps1		start_agent_worker.ps1
start_agent_worker.py		start_agent_worker.py
start_app.ps1		start_app.ps1
start_gemini_live.ps1		start_gemini_live.ps1
start_operator_agent.py		start_operator_agent.py
test_gemini_api.py		test_gemini_api.py
test_gemini_live.py		test_gemini_live.py
test_mindcure_agents.py		test_mindcure_agents.py
test_operator_architecture_focused.py		test_operator_architecture_focused.py
test_operator_voice_integration.py		test_operator_voice_integration.py

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