# Layer_Zero

- **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:** [Piyush Anand](https://cerebralvalley.ai/u/theBlind_coder)
- **GitHub:** https://github.com/PiyushAnand2006/PanDrop
- **Demo video:** https://youtu.be/99ob5XgTTbQ
- **Gallery:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2718

PanDrop — Point. Talk. Sell & Discover.

PanDrop turns a casual phone video into a live marketplace listing in minutes. Point your camera at any product and talk about it naturally — "this matcha whisk, 20 dollars, barely used" — and the AI pipeline does the rest: it hears you, locates the item in the video, separates it from the frame, cross-checks the condition you claimed against what the camera actually sees, and composes a studio-quality showcase image with the price burned in.

The pipeline is powered end-to-end by Meta's Model APIs: Muse Voice transcribes the seller's speech; Muse Spark extracts every item (name, price, condition claim) and, for clips without narration, detects sellable products directly from the video frames using a multi-layer vision pass (proposal scan → consolidation/verification); SAM 3.1 segments the real product out of the frame (with a GrabCut fallback for cleaner cutouts); Muse Wonder audits each item's actual visual condition and honestly flags any mismatch between the spoken claim and the footage; Muse Image composes the studio backdrop for the final showcase.

Every extraction is editable before posting — tweak the price and title directly on each item card — then publish to the built-in P2P marketplace. One unified account both sells and buys: switch accounts in one click, browse the Discover feed with search, category, price and AI-condition filters, inspect any listing's SAM cutout and raw frame for authenticity, and purchase with wallet balance. The condition audit keeps sellers honest — if you claim "works perfectly" but the frames say otherwise, buyers see it before they pay.

Built with React 18, TypeScript, Tailwind CSS and Framer Motion on a FastAPI backend, serving real per-job pipeline artifacts (frames, masks, cutouts, showcases) — verified end-to-end with live models.

## More from Meta Global AI Developer Hackathon

- [Lift Africa Tech](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2715)
- [VOXEL-SAM AR](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2716)
- [BioDigit](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2717)
- [Barghest](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2719)
- [ActCheck](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2720)
- [Violet Sky Security](https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2721)

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Markdown version of https://cerebralvalley.ai/e/meta-ai-developer-hackathon/hackathon/gallery/2718. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt