AI Healthcare Platform

A comprehensive AI-powered healthcare platform with features like an AI health assistant, health issue scanning via images, and prescription/medical report scanning.

Features

• AI Health Assistant: Provides health advice and personalized recommendations.
• AI Vision: Analyzes images for potential health issues.
• Document Scanning: Scans and organizes prescriptions and medical reports.

Getting Started

These instructions will help you set up and run the project on your local machine.

Prerequisites

1. Node.js: Ensure you have Node.js installed. Download Node.js.
2. Bun (optional): Alternatively, you can use Bun as the package manager.

Installation

Clone the repository:

git clone https://github.com/adityai0/ai-healthcare.git
cd ai-healthcare

Using Bun

If you choose to use Bun as your package manager:

1. Install dependencies:

   bun install

2. Run the development server:

   bun dev

3. Build for production:

   bun build

4. Start the production server:

   bun start

Using npm

Alternatively, if you prefer npm:

1. Install dependencies:

   npm install

2. Run the development server:

   npm run dev

3. Build for production:

   npm run build

4. Start the production server:

   npm start

Environment Variables

Set up a .env.local file with necessary environment variables for Firebase, API keys, etc. here's sample env file setup

VISION_PRIVATE_KEY=your_private_key_id
VISION_CLIENT_EMAIL=your_client_email
GEMINI_API_KEY=your_gemini_api_key
GOOGLE_GENERATIVE_AI_API_KEY=api-key
NEXT_PUBLIC_FIREBASE_API_KEY=firebase-api-key
NEXT_PUBLIC_FIREBASE_MESSAGING_SENDER_ID=firebase-message-sender
NEXT_PUBLIC_FIREBASE_APP_ID=firebase-app-id
NEXT_PUBLIC_FIREBASE_MEASUREMENT_ID=firebase-measurement-id

Technologies Used

• Next.js for frontend and backend integration.
• Firebase Firestore for database management.
• Vercel AI SDK for AI capabilities.
• Google Cloud Vision API for image analysis.

Contributing

Feel free to open issues and submit pull requests to improve the platform.

License

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