Microservices-Based E-Commerce Platform with AI-Powered Product Recommendations

Develop an e-commerce platform using microservices architecture where separate services handle products, users, orders, and payments. Integrate AI-powered recommendations to personalize user experience and improve sales by analyzing historical purchase patterns and user preferences.

Design separate microservices for user management, product catalog, orders, and payment processing.

Implement RESTful API endpoints for communication between services.

Use Docker or Kubernetes for containerization and orchestration of services.

Preprocess historical purchase data and train an AI recommendation engine.

Integrate AI recommendations with the product service.

Implement database management for each microservice independently.

Handle authentication and authorization for secure user access.

Implement service discovery and API gateway for routing requests.

Test individual services and the overall system for functionality, performance, and reliability.

Document architecture, AI integration, and deployment workflow.