ReCommerce

ReCommerce is a microservices-based e-commerce platform focused on recommendation learning. It leverages machine learning to provide personalized product recommendations and is designed for scalability and performance. Note: This project is still in progress.

Core Services

1. User Service – Handles user authentication, registration, and profile management.
2. Order Service – Manages order creation, tracking, and history.
3. Product Service – Manages product catalog, inventory, and pricing.
4. Recommendation Service – Provides personalized product recommendations using machine learning.
5. Notification Service – Sends notifications via email or SMS for order confirmations, updates, etc.

Tech Stack

Frontend:

• HTML
• CSS
• JavaScript (Optional, since it's primarily backend-focused)

Backend:

• Python
• Django (Django Rest Framework for APIs)

Databases:

• PostgreSQL (For relational data: users, orders)
• MongoDB (For flexible, unstructured product data)

Communication between Microservices:

• API Gateway: NGINX for routing traffic to microservices.

Containerization:

• Docker for containerizing services.
• Docker Compose for local development and orchestrating containers.

Deployment:

• AWS (EC2, RDS, S3) for cloud deployment and scaling.

Asynchronous Tasks:

• Celery + Redis for handling background tasks (e.g., sending notifications).

Message Queue:

• RabbitMQ for managing inter-service communication and queuing tasks.

Machine Learning:

• Used in the Recommendation Service to provide personalized product recommendations based on user behavior and product interactions.

Search:

• Elasticsearch for fast, full-text product search capabilities.

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Project Status:

This project is currently in progress. Further updates and additional features will be implemented in upcoming phases.