Play 79
Food Safety Inspector AI
High✅ Ready
HACCP compliance automation with contamination detection across the food supply chain.
HACCP compliance automation with contamination detection across the food supply chain - farm to fork traceability, temperature monitoring, pathogen risk scoring, and regulatory audit trail generation. Document Intelligence extracts HACCP plans and inspection reports, OpenAI performs regulatory gap analysis, Cosmos DB stores traceability records with global distribution, Event Hubs processes real-time temperature telemetry, and IoT Hub monitors cold chain integrity.
Architecture Pattern
Event-driven food safety: IoT monitoring - contamination detection - traceability - HACCP audit
Azure Services
Azure Document IntelligenceAzure OpenAIAzure Cosmos DBAzure Event HubsAzure IoT Hub
DevKit (.github Agentic OS)
- agent.md — root orchestrator with builder→reviewer→tuner handoffs
- 3 agents — Food Safety Builder (gpt-4o), Reviewer (gpt-4o-mini), Tuner (gpt-4o-mini)
- 3 skills — deploy (209 lines), evaluate (123 lines), tune (238 lines)
- 4 prompts — /deploy, /test, /review, /evaluate with agent routing
- .vscode/mcp.json — FrootAI MCP with OpenAI + IoT Hub inputs + envFile
TuneKit (AI Config)
- config/openai.json - regulatory analysis and risk assessment prompts
- config/food-safety.json - HACCP standards, pathogen databases, temperature limits
- config/guardrails.json - food safety thresholds, recall triggers
- evaluation/eval.py - Contamination detection >95%, Audit completeness >99%
Tuning Parameters
Temperature alert thresholdsPathogen risk modelsTraceability depthAudit retention periodRecall trigger sensitivity
Estimated Cost
Dev/Test
$100–250/mo
Production
$3K–10K/mo