# Ybigta1

- **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
- **Team:** [chanwoo Moon](https://cerebralvalley.ai/u/burborn12), [Shon Jaehun](https://cerebralvalley.ai/u/jaehoon)
- **GitHub:** https://github.com/manfromearth11/gemini-hackathon
- **Demo video:** https://drive.google.com/file/d/1bw9FrRmi1P6RE0Xrit6-NPHhQfvTz-pW/view?usp=sharing
- **Gallery:** https://cerebralvalley.ai/e/gemini-3-seoul-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/gemini-3-seoul-hackathon/hackathon/gallery/82

card-transaction data cannot be used in real services, our system replaces store-level performance signals with two core engines: a **Panorama Agent** and a **Persona Agent**. The Panorama Agent analyzes street-level imagery around a location to quantify real-world friction and opportunity—visibility, signage legibility, pedestrian friendliness, approachability, and contextual cues that affect walk-in conversion. This is the “physical reality check” that typical dashboard analytics miss: even when a district has sufficient foot traffic, poor sightlines, cluttered storefronts, or unfriendly street geometry can silently suppress conversion. In parallel, the Persona Agent models the human side of demand without needing private data. It builds a realistic distribution of who is likely present by time of day and then simulates how different customer

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Markdown version of https://cerebralvalley.ai/e/gemini-3-seoul-hackathon/hackathon/gallery/82. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt