# AURA

- **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
- **Team:** [Yi Yang](https://cerebralvalley.ai/u/WOXIN), [Yuqi Guo](https://cerebralvalley.ai/u/guoyuqi378), [Haorui Chen](https://cerebralvalley.ai/u/haorui117), [Yuzhi Zeng](https://cerebralvalley.ai/u/zyzhere)
- **GitHub:** https://github.com/context-labs-ai/aura
- **Demo video:** https://drive.google.com/file/d/1P0lcVvJRzgjtZLZiZ8jevWTUwYlzIVvo/view?usp=drive_link
- **Gallery:** https://cerebralvalley.ai/e/gemini-3-singapore-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/gemini-3-singapore-hackathon/hackathon/gallery/62

AURA is an AI-powered visual intelligence engine that uses multi-modal recognition to identify, classify, and extract contextual metadata from buildings and architectural structures in real time. Point the scanner at any building — commercial, residential, historical, or industrial — and AURA dynamically returns structured insights including architectural style classification, construction era estimation, ownership and tenancy data, zoning information, nearby amenities, and aggregate review sentiment.
The system combines on-device detection with cloud-based inference for sub-second responses, personalized by user preferences, location, and scan history. Each scan also generates a photogrammetry-derived 3D mesh of the structure, exportable as OBJ, STL, or GLTF for archival, AR preview, or 3D printing as a collectible miniature.

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Markdown version of https://cerebralvalley.ai/e/gemini-3-singapore-hackathon/hackathon/gallery/62. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt