# LineCheck

- **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:** [Austin Zumaya](https://cerebralvalley.ai/u/FrostyVein)
- **GitHub:** https://github.com/zumayaaustin-creator/LineCheck-Vision-Hackathon.git
- **Demo video:** https://youtu.be/8pzp-OZisJU
- **Gallery:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/1287

LineCheck Vision is a heads-up AR kitchen display and real-time operations ledger designed for commercial cook lines.

The Problem:
Commercial line cooks work with gloved hands amidst raw proteins, wet line stations, and sanitation chemical solutions. Stopping mid-prep to tap tablet screens or manually calculate yields introduces serious cross-contamination hazards, breaches food safety protocols, and stalls ticket velocity.

The Solution:
LineCheck Vision bridges culinary operations and spatial AI by simulating a Meta Ray-Ban heads-up display synchronized with an active prep ledger. By pairing Meta SAM 3.1 zero-shot segmentation with WebMCP tool execution:
- Line cooks inspect hotel pans, verify pars, and evaluate protein trim yields (such as Salmon and Beef Tenderloin) completely hands-free via HUD reticles.
- Real-time computer vision segments container boundaries and estimates fill levels in the cook's direct line of sight.
- WebMCP tools (`record_waste`, `calculate_yield`, `tare_scale`, and `verify_pan_depth`) automatically log actionable prep data to the kitchen ledger without the cook touching a screen.

By removing screen friction from the prep board, LineCheck Vision protects kitchen sanitation standards while giving management real-time yield and inventory visibility.

## More from Meta Global AI Developer Hackathon

- [KAMAR — Independent Developer](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/1284)
- [Nikasemo Technologies](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/1285)
- [Coach](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/1286)
- [Grupo kaveris](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/1288)
- [besir](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/1289)
- [Astro Code](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/1290)

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