# mincasurong

- **Event:** [Gemini 3 서울 해커톤](https://cerebralvalley.ai/e/gemini-3-seoul-hackathon)
- **When:** Sat, Feb 28 at 9:00 AM – 10:00 PM (GMT+9)
- **Where:** 서울 Seocho District, Olympic-daero, 2085-14 세빛둥둥섬
- **Placement:** 1st Place
- **Team:** [Max Chang](https://cerebralvalley.ai/u/urmo2d)
- **GitHub:** https://github.com/mincasurong/GeminiSeoulHackathon2026
- **Demo video:** https://youtu.be/hzUlLTtfd7M
- **Gallery:** https://cerebralvalley.ai/e/gemini-3-seoul-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/gemini-3-seoul-hackathon/hackathon/gallery/27

Project: GeminiSpace
Track: Gemini in Hard Tech(Option 2)

The Problem: Building environmental maps for mobile robots in factories using traditional SLAM is time-consuming, rigid, and computationally expensive.

The Solution: GeminiSpace redefines spatial mapping. Users upload standard panoramic pictures of an indoor environment. The Gemini API processes the space autonomously, instantly generating a 2D orthographic floor plan, a topological routing graph, and a 3D Voxel map.

Hardware Execution: We bridge generative AI with physical automation. A user types a natural language query (e.g., "How do I get to the table?"). Using Gemini's multimodality, the system generates an obstacle-free physical path and translates it into a standard ROS2 Nav2 payload for direct hardware dispatch.

Built With: Google Antigravity, Google AI Studio, Gemini 3.1 Pro, Nano Banana, NotebookLM, Next.js, FastAPI.

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Markdown version of https://cerebralvalley.ai/e/gemini-3-seoul-hackathon/hackathon/gallery/27. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt