# GLPfit

- **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:** [seonghyuk yim](https://cerebralvalley.ai/u/orqan137)
- **GitHub:** https://github.com/orqan137/glpfit
- **Demo video:** https://youtu.be/DEE4_cbdePg
- **Gallery:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2233

GLPfit is a bilingual weekly-shot companion for Mounjaro and Wegovy users. Weekly injections create a weekly rhythm: appetite, nausea and energy change between shots. GLPfit organizes that routine around four daily records: weight, injections, meals and exercise.

The demo follows Minji through shot day: log an injection with site rotation, see an estimated drug-level curve and remaining pen supply, record symptoms and weight, compare before/after meal photos to estimate protein actually eaten, and follow a gentle exercise routine. A Meta AI coach reads the shot schedule and server-computed trends, adapts its advice to the cycle, and remembers useful preferences. A printable monthly clinician report brings dose history, symptoms and nutrition estimates to the next clinic visit.

Plate Lens combines SAM 3.1 food instance counts and bounding-box areas with Muse Spark vision and structured nutrition estimates. This turns segmentation into a practical measurement aid rather than a decorative overlay. All nutrition and drug-level values are estimates; the app does not diagnose, prescribe or recommend dose changes.

Built as a React/TypeScript PWA with a FastAPI backend and Python agent. English and Korean are supported. The repository includes offline sample results, setup instructions and mocked automated tests. Research export is opt-in and de-identified.

## More from Meta Global AI Developer Hackathon

- [TwinBench](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2230)
- [WhatsGene](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2231)
- [Sorted](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2232)
- [MobyDIGG](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2234)
- [AgentFront](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2235)
- [Vicentekk](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2236)

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