Develop a banking platform with separate services for accounts, transactions, loans, and customer management. Integrate AI to detect fraudulent transactions in real-time, improving security and minimizing financial risk.
Design microservices for accounts, transactions, loans, and customer support.
Implement inter-service communication via REST APIs.
Containerize services using Docker; orchestrate using Kubernetes.
Preprocess historical transaction data and train ML models for fraud detection.
Integrate AI predictions into the transaction service.
Implement secure authentication and role-based access.
Use API Gateway for routing and load balancing.
Test all services independently and ensure system integration works seamlessly.
Monitor transaction flows and log errors or suspicious activity.
Document microservices, AI integration workflow, and deployment strategies.
