# Muse IoT

- **Event:** [Meta Global AI Developer Hackathon](https://cerebralvalley.ai/e/meta-ai-developer-hackathon)
- **When:** Oct 26, 12:00 PM – Nov 4, 9:00 PM (EST)
- **Where:** Online
- **Team:** [Sang Tran Quoc](https://cerebralvalley.ai/u/sangtran-vn)
- **GitHub:** https://github.com/sangtq-vn/muse-iot
- **Demo video:** https://www.youtube.com/watch?v=3k_UwnLOK-k
- **Gallery:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/333

Muse-IoT is an LLM-driven IoT platform that replaces hardcoded sensor thresholds with real judgment. Sensor nodes (ESP32 over MQTT) stream temperature, soil, and humidity to an orchestrator, which assembles live readings, 48-hour history, and past reflections into one prompt. Meta Muse Spark reasons over it like a farmer — then answers in one JSON command that drives real pump, fan, and light relays. A safety engine validates every decision against hard interlocks (duration limits, cooldowns), and every action is logged with its plain-English reason, model, and latency.

Problems it solves:
1. Dumb automation. Traditional IoT is if temp > 32: pump.on() — a state machine that can't see a storm coming, learn soil behavior, or explain itself. Farmers trust their eyes over it, so adoption stalls. Muse-IoT reasons instead of reacting: it held the pump off at 30.8°C to avoid damping-off and distinguished ambient heat from equipment failure on its own.
2. Unexplainable machines. Every decision carries a "why" you can interrogate in chat — "why did you water at noon?" — answered from memory with 24-hour stats.
3. Unsafe autonomy. The model proposes, but a safety engine disposes

## More from Meta Global AI Developer Hackathon

- [Sisi](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/330)
- [The Jamesian Layer](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/331)
- [Bangladesh - 1](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/332)
- [Plumbline](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/334)
- [Board To Life](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/335)
- [BillClear](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/336)

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Markdown version of https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/333. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt