https://github.com/extrawest/ai_healthcare_bot_with_memory
An intelligent healthcare assistant with memory capabilities, built using FastAPI, Chainlit, and mem0. This bot can remember patient information across conversations, providing personalized healthcare support.
https://github.com/extrawest/ai_healthcare_bot_with_memory
ai chainlit chait fastapi langchain mem0 python
Last synced: about 1 month ago
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An intelligent healthcare assistant with memory capabilities, built using FastAPI, Chainlit, and mem0. This bot can remember patient information across conversations, providing personalized healthcare support.
- Host: GitHub
- URL: https://github.com/extrawest/ai_healthcare_bot_with_memory
- Owner: extrawest
- Created: 2025-06-13T16:48:03.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-06-13T17:14:02.000Z (about 1 year ago)
- Last Synced: 2025-06-13T18:22:51.989Z (about 1 year ago)
- Topics: ai, chainlit, chait, fastapi, langchain, mem0, python
- Language: Python
- Homepage:
- Size: 13.7 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 🏥 AI Healthcare Bot with Memory
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An intelligent healthcare assistant with memory capabilities using Mem0, built using FastAPI, Chainlit, and mem0. This bot can remember patient information across conversations, providing personalized healthcare support.
## Demo
https://github.com/user-attachments/assets/ee2f519c-fdf6-4143-8fe3-8c03e0977462
## 🌟 Features
- 🧠 **Memory System**: Remembers patient information and conversation history using mem0
- 🔄 **Streaming Responses**: Real-time streaming of AI responses for a better user experience
- 🏥 **Healthcare Focus**: Specialized in healthcare-related conversations and information
- 🌐 **Dual Interface**: API backend with FastAPI and interactive UI with Chainlit
- 🔒 **Secure**: Designed with healthcare data privacy considerations
- 📱 **Responsive UI**: Modern, user-friendly interface for patient interactions
## 🚀 Quick Start
### 1. Installation
```bash
git clone https://github.com/extrawest/ai_healthcare_bot_with_memory.git
cd ai_healthcare_bot_with_memory
python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txt
```
### 2. Configuration
Copy the example environment file and configure your settings:
```bash
cp .env.example .env
```
Edit the `.env` file with your own settings:
- Set your OpenAI API key
- Configure Qdrant settings for vector storage
- Adjust host/port settings if needed
### 3. Start the FastAPI Backend
First, start the FastAPI backend server:
```bash
python -m src.main
```
The API will be available at http://0.0.0.0:8000 by default.
### 4. Start the Chainlit UI
In a new terminal window (with the virtual environment activated), start the Chainlit UI:
```bash
python run_chainlit.py
```
The UI will be available at http://0.0.0.0:8001 by default.
### 5. Interact with the Bot
Open your browser and navigate to http://0.0.0.0:8001 to start interacting with the healthcare bot. The bot will remember your conversation history and provide personalized healthcare support.
## 💻 Usage
### API Endpoints
#### Chat Completions
```
POST /chat/completions
```
Request body:
```json
{
"user_message": "I have a headache and would like to schedule an appointment",
"user_id": "user_12345"
}
```
Response: A streaming response with AI-generated content.
### Memory System
The bot uses mem0 to store and retrieve relevant information from previous conversations. This allows it to:
- Remember patient symptoms and conditions
- Recall previous appointments and discussions
- Provide personalized healthcare advice based on patient history
## 📋 Requirements
- Python 3.9+
- OpenAI API key
- Qdrant instance (for vector storage)
- FastAPI
- Chainlit
- mem0
- langchain
## 🔧 Technical Implementation
### Memory Configuration
The system uses mem0 for memory storage with the following configuration:
- OpenAI embeddings (text-embedding-3-large)
- Qdrant vector store for efficient retrieval
- Custom prompt for healthcare entity extraction
### Streaming Implementation
The application implements streaming responses using:
- FastAPI's StreamingResponse
- Custom streaming service that converts regular responses to streams
- Chainlit's streaming capabilities for real-time UI updates
### Healthcare Support Agent
The AIHealthcareSupport agent:
- Retrieves relevant memories for each query
- Builds context from previous conversations
- Uses OpenAI's GPT-4o model for generating responses
- Stores new conversation data in memory
Developed by [extrawest](https://extrawest.com/). Software development company