AI Health Assistant

LazyCare

This project is an AI Health Assistant with a Next.js frontend and a Node.js + Express backend. The backend also integrates FastAPI to run an AI chatbot.

System Requirements

• Operating System: Windows / macOS
• Frontend: Next.js
• Backend: Node.js + Express, FastAPI
• AI Chatbot: Runs on FastAPI

Installation

Before running the project, install all dependencies.

1. Install Node.js Dependencies

Run the following commands in both the backend and frontend folders:

cd backend  # Navigate to the backend folder
npm install  # Install backend dependencies

cd ../frontend  # Navigate to the frontend folder
npm install  # Install frontend dependencies

2. Install Python Dependencies (for FastAPI)

Run the following command in the backend folder:

pip install fastapi uvicorn

If the AI chatbot relies on tinyllama_api, ensure the necessary dependencies are installed:

pip install -r requirements.txt

Running the Project

Follow these steps to start the project.

1. Start the AI Chatbot (FastAPI)

Run the following command in the backend directory:

uvicorn tinyllama_api:app --host 0.0.0.0 --port 8000 --reload

The chatbot API will be available at http://localhost:8000/tinyllama-generate.

2. Start the Backend (Node.js + Express)

Run the following command in the backend directory:

node server.js

The backend will connect to http://localhost:5000.

3. Start the Frontend (Next.js)

Run the following command in the frontend directory:

npm run dev

The frontend will be available at http://localhost:3000.

Additional Notes

• Ensure Python version 3.8 or higher.
• Ensure Node.js version 16.0 or higher.
• If npm install fails, try deleting the node_modules folder and package-lock.json, then reinstall:

rm -rf node_modules package-lock.json  # macOS/Linux
rd /s /q node_modules package-lock.json  # Windows
npm install

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Authors: Aurore Zhang, Xu (Sabrina) Yan, Louis Zhang, and Karen Chen Lai