# Native AI

- **Event:** [Gemini 3 Bengaluru Hackathon](https://cerebralvalley.ai/e/gemini-3-bengaluru-hackathon)
- **When:** Sat, Feb 14 at 9:00 AM – 10:00 PM (GMT+2)
- **Where:** WeWork Roshni Tech Hub – Coworking & Office Space in Marathahalli, Bengaluru, India
- **Team:** [Jayavardhan Reddy Kandappa Reddy Gari](https://cerebralvalley.ai/u/jayavardhan), [Muhammad Zaid Hassan](https://cerebralvalley.ai/u/mz-hassan), [Divyam Jindal](https://cerebralvalley.ai/u/divyamjindal)
- **GitHub:** https://github.com/DivyamJindal/native-become-a-native-on-second-0
- **Demo video:** https://www.loom.com/share/308df06b973c42b29305d8157b0b4639
- **Gallery:** https://cerebralvalley.ai/e/gemini-3-bengaluru-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/gemini-3-bengaluru-hackathon/hackathon/gallery/19

native is a mobile-first traveler intelligence agent built for people entering unfamiliar places in India. The core problem it solves is the “arrival gap”: language barriers, local process confusion, and safety risk in real-time interactions.
The app has 3 primary traveler modes: Listen, Vision, and Navigate.
In Listen, it captures live speech, auto-detects incoming language, and translates/explains only when needed in the user’s selected home language.
In Vision/Navigate, it interprets signs/surroundings and gives concise route + action guidance.
It includes a Local Risk Guard that detects scam/coercion/urgency cues and gives localized next steps, with city-aware safety guidance and emergency action support (India metro-focused).
A secondary tab, BAKSHI, captures oral agreement terms into structured points.

---

Markdown version of https://cerebralvalley.ai/e/gemini-3-bengaluru-hackathon/hackathon/gallery/19. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt