LocalizeAI is an AI-powered location discovery platform designed to help users find the best local spots, from coffee shops to restaurants, in Jakarta and beyond. With both image and text search capabilities, LocalizeAI enables users to explore places, read and share reviews, and navigate local hotspots with ease.

• AWS S3
• JWT
• Google Sign-In
• Mongoose
• Redis

• User Authentication: Secure authentication using JWT and Google Sign-In.
• Place Discovery: Search and discover local places with AI-powered recommendations.
• Reviews: Read and share reviews for various places.
• Image Upload: Upload images to AWS S3.
• Caching: Improve performance with Redis caching.

• Node.js
• npm or pnpm
• MongoDB
• Redis
• AWS S3 account

1. Clone the repository:

   git clone https://github.com/yourusername/localize-ai-backend.git
   cd localize-ai-backend

2. Install dependencies:

   pnpm install

3. Create a .env file based on the .env.example:

   cp .env.example .env

4. Update the .env file with your configuration:

   MONGO_URI=your_mongo_uri
   MONGO_DB_NAME=your_db_name
   FIREBASE_PROJECT_ID=your_firebase_project_id
   FIREBASE_PRIVATE_KEY=your_firebase_private_key
   FIREBASE_CLIENT_EMAIL=your_firebase_client_email
   JWT_SECRET=your_jwt_secret
   JWT_EXPIRATION=your_jwt_expiration
   PORT=your_port
   REDIS_URL=your_redis_url
   AWS_S3_BUCKET_NAME=your_s3_bucket_name
   AWS_S3_BUCKET_REGION=your_s3_bucket_region
   AWS_S3_ACCESS_KEY=your_s3_access_key
   AWS_S3_SECRET_KEY=your_s3_secret_key
   TEST_EMAIL=your_test_email
   NODE_ENV=development

1. Start the application:

   pnpm start

2. The application will be running at http://localhost:your_port.

• src/: Source code
  • app.module.ts: Main application module
  • main.ts: Entry point of the application
  • modules/: Feature modules
    • auth/: Authentication module
    • places/: Places module
    • storages/: Storage module
    • users/: Users module
  • common/: Common utilities and helpers
  • core/: Core services and configurations

Contributions are welcome! Please open an issue or submit a pull request.

This project is licensed under the MIT License.