This project is a microservices-based backend for an educational financial broker platform designed to help users better understand their finances and make informed investment decisions.

The system is composed of four core services:

• Wallet service
• Assets service
• Users service
• Messaging service

The architecture follows an event-driven approach using Kafka for asynchronous communication between services.

Authentication and authorization are handled using JWT-based security.

The platform integrates AI-driven features to provide insights, guidance and educational support for financial decision making.