# success

- **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:** [Harish Ramachandran](https://cerebralvalley.ai/u/Hariskumar_R)
- **GitHub:** https://github.com/sathishkumar-ramachandran-tl/ophthapilot-robotics
- **Demo video:** https://youtu.be/-gVrP3E3BXA
- **Gallery:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2823

OphthaPilot Robotics is a simulated ophthalmic microsurgery lab that closes the loop from perception to safe robot action, with Meta Muse Spark as the reasoning layer.

The problem: Retinal surgery works at about 0.1 mm, the same scale as a surgeon's hand tremor. Robotic assistance could help, but only if AI can be trusted near a physical system.

What it does: A synthetic OCT scanner images five retinal sites and localises lesions. Muse Spark (muse-spark-1.3, via the Meta Model API) gets the candidates plus microscope and OCT imagery and picks one target with a structured JSON rationale. Deterministic code then plans a remote-centre-of-motion trajectory through the incision port. Twelve independent safety checks validate the plan, and nothing moves until a human approves it. The 6-joint arm executes, a noisy tracking sensor verifies the result, and Muse reviews it (refine or accept). Bounded corrections close the loop.

How we use Meta AI: Muse Spark does target selection with vision input and strict JSON-schema output, post-execution review, and an advisory copilot chat. It only proposes. It cannot set coordinates, approve plans or override safety. The AI package cannot import the safety or robotics code, and a test enforces that. With no key or an invalid reply, the system fails safe with no motion. Every Muse call is audited in the UI's Muse Trace tab and saved in muse_logs/.

Measured results: Open-loop error of 0.47 mm falls to about 0.01 mm after one correction. Sensor-only tremor compensation cuts tip scatter by 65% (0.120 to 0.042 mm RMS). 41 automated tests pass.

Stack: Python and FastAPI, a fixed-step simulation as the source of truth, React and three.js, and Meta Muse Spark.

Research simulation only. It uses synthetic OCT, no real hardware, and is not a medical device.

I've stated everything above as measured or built. If the form has a character limit, I can cut it to a short version.

## More from Meta Global AI Developer Hackathon

- [Kiprotich Dominic](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2820)
- [Seyon](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2821)
- [Offload](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2822)
- [Observer AI](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2824)
- [Dragos](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2825)
- [The Zoning Board](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2826)

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