A prototype AML (Anti‑Money Laundering) monitoring API built with FastAPI and Pydantic. It ingests transaction messages, applies a cascading classification pipeline (rule‑based → lightweight ML → LLM), and emits risk scores and alerts for suspicious activity. Data validation, model integration, scalable deployment, and real‑time monitoring.
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chore: refactor into privacy-aware fraud detection microservice and update README
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