# Road to 5K

- **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:** [Benigno Rodriguez](https://cerebralvalley.ai/u/jrodsoto)
- **GitHub:** https://github.com/jrodsoto-builds/road-to-5k
- **Demo video:** https://youtu.be/quRg2KfrQe0
- **Gallery:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3956

Road to 5K turns a physical-therapy exercise plan into a hands-free coaching session on Meta Ray-Ban Display. The application extracts data from a log image, with human verification. The Today view shows the day's first exercise from the PT plan; a cue-screen walker steps through each exercise; "Ask" answers questions about the plan (including reps, seconds, and weights, based on the type of exercise) and reports today's session in the correct tense — what it *is* before the walk and what it *was* after. Completing a session saves a record and surfaces a short, general-info recovery note. A SAM vision layer segments and tracks people in view, counts the people around the wearer — a distinct-ID count reported from the camera-wearer's point of view — and estimates the distance to a runner ahead (always presented as an estimate).

## More from Meta Global AI Developer Hackathon

- [No Body](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3953)
- [ProtoMind](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3954)
- [Research Navigator](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3955)
- [Research Microscope](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3957)
- [Second Opinion](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3958)
- [Tonelab Muse](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/3959)

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