LLM looks at my garden: how AI vision decides whether to tell me to cover the furniture before rain
Summary
The article presents a Home Assistant automation that checks weather conditions, captures a garden photo, and uses an LLM vision task to decide whether furniture is covered. It combines camera snapshots, structured AI output, and Telegram callbacks to let a user confirm or snooze the alert. The workflow also includes cooldown logic, nowcast checks, and integrations through REST, WebSocket, and config-flow mechanisms. The author emphasizes practical deployment on limited hardware such as a Raspberry Pi 3 and discusses implementation details and edge cases.
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