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@@ -36,6 +36,7 @@ The Ollama `mistral` model is fully integrated with Streamlit using **Tool Calli
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- **Sprint 1-6 [COMPLETED]**: The project evolved from a foundation into a heavily optimized, vertically partitioned, RAG-integrated medical platform. All code is audited and documentation is finalized in the `docs/` folder.
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- **Sprint 7 [ACTIVE]**: SNMPv3 Enterprise Monitoring. Deployed Zabbix Docker containers relying on the host MySQL instance. Injected `pysnmp` logic into core Streamlit and backend workflows for real-time telemetry alerting.
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- **Future Work**: The system is in a stable, monitored state. Any future AI agents modifying this project should strictly adhere to the vertical partitioning structure and use `search_nutrition_db` for data fetching.
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+- **Historical Sprint Tracking**: A standalone historical Agile export file has been saved at [local-food-ai-1-5947063a-612b-454f-b3f1-6b5858445510.json](file:///c:/Users/lanfr144/Documents/DOPRO1/Antigravity/Food/taiga/local-food-ai-1-5947063a-612b-454f-b3f1-6b5858445510.json) inside the `taiga/` directory for historical reference and project tracking validation.
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*Generated by Antigravity.*
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