# Beta Labs

- **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:** [Low Garrick](https://cerebralvalley.ai/u/garrick15)
- **GitHub:** https://github.com/garrick15/climbIQ
- **Demo video:** https://youtu.be/ZLMrgpG-xmc
- **Gallery:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/316

ClimbIQ is an AI-powered bouldering coach that analyses recorded climbing attempts directly in the browser and provides move-by-move coaching feedback.

Inspired by chess.com's move analysis system, ClimbIQ evaluates a climber's movements and provides verdicts such as Best, Good, Inaccuracy, and Mistake, alongside actionable instructions explaining what to improve and why.

The application combines computer vision, biomechanics, and AI to analyse body positioning, centre of mass, balance, stability, movement efficiency, and climbing technique. It visualises the analysis directly on the original footage through body skeleton tracking, movement arrows, target holds, and synchronised coaching instructions.

## More from Meta Global AI Developer Hackathon

- [Aula Raíz](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/313)
- [AuditGlimmer](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/314)
- [SahiBill](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/315)
- [FORGE](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/317)
- [Ripe](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/318)
- [Muse Shorts](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/319)

---

Markdown version of https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/316. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt