# BestForce

- **Event:** [RAISE Summit Hackathon](https://cerebralvalley.ai/e/raise-summit-hackathon)
- **When:** Jul 4 at 9:00 AM – Jul 5 at 7:00 PM (GMT+2)
- **Where:** Paris, France
- **Team:** [Daisuke Adachi](https://cerebralvalley.ai/u/DaisukeAdachi)
- **GitHub:** https://github.com/dadachi/turnpilot
- **Demo video:** https://youtu.be/5K_dsMP1AqY
- **Gallery:** https://cerebralvalley.ai/e/raise-summit-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/raise-summit-hackathon/hackathon/gallery/25

A live copilot for walk-in shops — it spots late orders and tells staff what to do. TurnPilot watches a streaming NFC queue-event feed, builds a situational model of the kitchen, and turns it into plain-language advisories with a one-tap Accept / Dismiss loop that learns. All reasoning runs on local Gemma 4 via Ollama — offline, on-device, privacy-first. No cloud calls.

It is deliberately not a dashboard: the product is the advisory + accept/dismiss loop, not a wall of charts. The console reads top-to-bottom as a story — a plain-language situation line ("3 orders running late — a customer is waiting at the counter"), the live queue, then the advice.

Why Gemma, on-device: detecting an overrun is just math — Gemma decides whether it's even worth interrupting you, says exactly what to do in plain language, and (with an opt-in counter camera) reads the scene with on-device vision to sense a customer actually waiting — the one signal the queue data can't capture. Those camera frames can never leave the device, so it must run locally: private by construction, and it works even when the wifi doesn't. Every Dismiss makes it less trigger-happy.

## More from RAISE Summit Hackathon

- [Geanremona](https://cerebralvalley.ai/e/raise-summit-hackathon/hackathon/gallery/22)
- [Partsmith](https://cerebralvalley.ai/e/raise-summit-hackathon/hackathon/gallery/23)
- [WanderAI](https://cerebralvalley.ai/e/raise-summit-hackathon/hackathon/gallery/24)
- [Dhruva Myakeri](https://cerebralvalley.ai/e/raise-summit-hackathon/hackathon/gallery/26)
- [Tara Chand](https://cerebralvalley.ai/e/raise-summit-hackathon/hackathon/gallery/27)
- [The Peak](https://cerebralvalley.ai/e/raise-summit-hackathon/hackathon/gallery/28)

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Markdown version of https://cerebralvalley.ai/e/raise-summit-hackathon/hackathon/gallery/25. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt