Develop an API that analyzes banking transactions and flags suspicious activity using AI/ML models in real-time.
Design database for users, accounts, and transactions.
Develop API endpoints for transaction submission and fraud detection.
Preprocess historical transaction data for AI modeling.
Train ML models for anomaly detection and fraud classification.
Integrate AI model with API endpoints.
Implement authentication and secure data transmission.
Test API under various transaction scenarios.
Add logging, error handling, and monitoring.
Document endpoints, request/response format, and AI workflow.
