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Developer builds AI food-safety autopilot with human oversight for county inspections

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A developer created 'Inspection Autopilot' for the Qwen Cloud hackathon, an AI agent designed to handle follow-up paperwork for a county food-safety office using real inspection data from Clayton County, Georgia. The system was tested against 350 historical inspection pairs, with facilities flagged as urgent failing subsequent real inspections 67.6% of the time, compared to 21.1% for those cleared as routine. A key safety feature verifies every AI-generated citation against source records, achieving a 0.0% hallucination rate across 126 citations in a live evaluation, and successfully catching all 50 deliberately injected forged citations. Automation is intentionally limited to one narrow rule — auto-acknowledging clean inspections scoring 90 or above with no priority violations — while all other actions require a human supervisor's approval. The project emphasizes that governance, audit trails, and human oversight matter more than the AI capability itself when agents produce outputs with real-world legal consequences.

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Developer builds AI food-safety autopilot with human oversight for county inspections · ShortSingh