# Aaina

- **Event:** [Google DeepMind Bangalore Hackathon](https://cerebralvalley.ai/e/google-deepmind-bangalore-hackathon)
- **When:** Sat, Jul 11 at 9:00 AM – 10:00 PM (GMT+5:30)
- **Where:** Marathahalli, Marathahalli Main Road
- **Team:** [Rayyan Shaikh](https://cerebralvalley.ai/u/TheRayyn16), [Krisha Oswal](https://cerebralvalley.ai/u/krisha-oswal), [Navya Bijoy](https://cerebralvalley.ai/u/navyabijoy)
- **GitHub:** https://github.com/krisha-oswal/kavach
- **Demo video:** https://drive.google.com/drive/folders/1SfnXt7KeTpjNW0IDZ8EkrOKP7HgJroZb?usp=sharing
- **Gallery:** https://cerebralvalley.ai/e/google-deepmind-bangalore-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/google-deepmind-bangalore-hackathon/hackathon/gallery/62

Kavach — real-time call intelligence that hears the manipulation, not just the words.

India loses over ₹22,000 crore a year to scam calls that follow predictable scripts: hook → authority → isolation → urgency → extraction. Kavach listens to a live call and intervenes before the money moves.

Real-time & multimodal: the phone streams live 16 kHz audio to Gemini 3.1 Flash Live, which listens continuously — reading vocal urgency, catching the caller mid-sentence, and speaking a calm counter-warning into the call the moment the script turns coercive. It isn't turn-based; the caller can interrupt it and it keeps listening. Each risk signal is a schema-validated tool call gated by a local two-hit state machine, so the model senses and reasons but never acts alone.

On-device Gemma 4: when the network drops — exactly when a first-time victim is most exposed — a Gemma 4 E2B agent runs natively on the phone via LiteRT. It's a full sense → decide → act → check loop that holds state across the call, recovers from malformed model output, and defers to a human at clear boundaries. It keeps working even with no weights loaded.

Beyond detection: Kavach names the manipulation tactic and explains it in one plain sentence, scores caller trust live, can flip to a honeypot persona that wastes the scammer's time, and writes a post-call forensic debrief. Every event lands in a privacy-preserving, tamper-evident local ledger — transcript hashes, never raw audio.

Verified with real audio on gemini-3.1-flash-live-preview; a 16-case regression scores 1.00 precision and recall. Dual-brain: Gemini when connected, Gemma on-device when not.

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Markdown version of https://cerebralvalley.ai/e/google-deepmind-bangalore-hackathon/hackathon/gallery/62. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt