# seakkx

- **Event:** [Gemini 3 Singapore Hackathon](https://cerebralvalley.ai/e/gemini-3-singapore-hackathon)
- **When:** Sat, Mar 7 at 9:00 AM – 10:00 PM (GMT+8)
- **Where:** Location TBA
- **Placement:** 3rd Place
- **Team:** [Sean Yap](https://cerebralvalley.ai/u/Lactrodectus), [kaelan wan](https://cerebralvalley.ai/u/kaenugget), [Kai Xun Juay](https://cerebralvalley.ai/u/kai_xun)
- **GitHub:** https://github.com/S3annnyyy/gemini-3-hackathon
- **Demo video:** https://www.youtube.com/watch?v=KaIytzGh_eU
- **Gallery:** https://cerebralvalley.ai/e/gemini-3-singapore-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/gemini-3-singapore-hackathon/hackathon/gallery/37

Most housing decisions today are made from flat brochures and static floor plans — documents that can't communicate perspective, sunlight loss, or how neighbouring towers affect your daily view. Buyers are left guessing what a given floor actually sees, how surrounding developments shape openness and privacy, and where light disappears at different times of day. That spatial ambiguity is exactly where expensive housing decisions break down.
We close that gap by starting from the skyline, not the PDF. Upload a BTO brochure and the app composites product-specific geometry — blocks, floors, lift cores, unit orientations — onto a realistic city-scale 3D base layer. The result is a decision environment that is floor-aware, direction-aware, and context-aware, letting buyers compare street-level perspectives, simulate sunlight across seasons, and understand spatial trade-offs that no 2D document can convey.

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Markdown version of https://cerebralvalley.ai/e/gemini-3-singapore-hackathon/hackathon/gallery/37. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt