AI Healthcare Bot with Memory

A sophisticated healthcare chatbot that leverages advanced AI capabilities with memory retention to provide personalized medical information and assistance. This project combines modern technologies for both backend and frontend to deliver a seamless user experience.

Demo

485f22a0-de08-4119-806b-ebf66253c027.1.mp4

🚀 Features

• Real-time chat interface with AI healthcare assistant
• Long-term memory retention for personalized interactions
• Cross-platform support (iOS, Android)

🛠 Technology Stack

Backend

• LangGraph Server: Orchestrates the AI conversation flow and decision-making
• Ollama: Local LLM deployment for AI processing
• Qdrant: Vector database for efficient similarity search
• Mem0: Memory system for conversation context retention
• TypeScript: Backend implementation language
• Node.js: Runtime environment

Frontend

• Flutter: Cross-platform UI framework
• Dart: Programming language for Flutter
• BLoC Pattern: State management
• Material Design: UI components and styling

📋 Prerequisites

• Node.js (v18 or higher)
• Flutter SDK (latest stable version)
• Docker (for running Qdrant and Ollama)
• Git

🔧 Installation

Backend Setup

1. Navigate to the backend directory:

   cd backend

2. Install dependencies:

   npm install

3. Set up environment variables:

   cp .env.example .env
   # Edit .env with your configuration

4. Start server:

   npx @langchain/langgraph-cli dev

Frontend Setup

1. Navigate to the frontend directory:

   cd frontend

2. Get Flutter dependencies:

   flutter pub get

3. Run the application:

   flutter run

🏗 Project Structure

.
├── backend/
│   ├── src/
│   │   ├── agent.ts          # AI agent configuration
│   │   ├── services/         # Core services (LLM, Memory, etc.)
│   │   └── types/           # TypeScript type definitions
│   └── langgraph.json       # LangGraph configuration
└── frontend/
    └── lib/
        ├── features/        # Feature-based architecture
        │   └── chat/        # Chat feature implementation
        └── common/          # Shared utilities and widgets

🤝 Contributing

1. Fork the repository
2. Create your feature branch (git checkout -b feature/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

📝 License

This project is licensed under the BSD-3-Clause license License - see the LICENSE file for details.

👥 Authors

Created by Oleksandr Samoilenko
Extrawest.com, 2025