Insurance Claims Processing Stack (Python, FastAPI, PostgreSQL, Kafka, OCR/ML) overview

An end-to-end claims processing pipeline for insurance carriers combining FastAPI as the orchestration API, PostgreSQL for policy and claims data, and Kafka for event-driven intake of new claims from agents and policyholders. OpenCV and scikit-learn power OCR extraction and fraud-scoring models that classify claim documents, estimate damage, and flag anomalies. Celery handles long-running ML inference jobs asynchronously. Targeted at mid-to-large insurers replacing manual adjudication workflows. The primary tradeoff is regulatory complexity — claim state machines must satisfy jurisdiction-specific rules, and model decisions require explainability for audit compliance.