AI-Powered Product Identification Platform

An advanced AI-powered product identification platform that transforms visual product recognition through cutting-edge OCR and machine learning technologies.

Features

• AI-powered product recognition
• Guest user functionality
• User authentication and account management
• Product database with search capabilities
• Demographic data visualization
• Responsive UI with dark/light mode

Docker Setup

This application can be run using Docker, which makes it easy to deploy in any environment without worrying about dependencies.

Prerequisites

• Docker and Docker Compose installed on your system
• OpenAI API key (for AI-powered identification)

Running with Docker

Option 1: Using the Helper Script

1. Clone this repository
2. Make the helper script executable: chmod +x docker-run.sh
3. Run the helper script: ./docker-run.sh
4. The script will:
   • Check for Docker and Docker Compose
   • Create a sample .env file if one doesn't exist
   • Build and start the containers
   • Wait for the database to be ready
   • Run migrations
   • Provide a success message with the URL

Option 2: Manual Setup

1. Clone this repository
2. Create a .env file in the root directory with your environment variables:

# Required
DATABASE_URL=postgres://postgres:postgres@db:5432/postgres
SESSION_SECRET=your_session_secret
OPENAI_API_KEY=your_openai_api_key

# Optional - for email functionality
EMAIL_HOST=smtp.example.com
EMAIL_PORT=587
EMAIL_USER=your_email_user
EMAIL_PASS=your_email_password
EMAIL_FROM=noreply@example.com

3. Build and start the containers:

docker-compose up -d

4. Run migrations:

docker-compose exec app npm run db:push

5. Access the application at http://localhost:4060

Database Migration

The first time you run the application, you'll need to run the migrations:

docker-compose exec app npm run db:push

Development

Requirements

• Node.js 20+
• PostgreSQL

Setup

1. Install dependencies: npm install
2. Create .env file with required environment variables
3. Run migrations: npm run db:push
4. Start the dev server: npm run dev

License

MIT# productScaner