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When thousands of people gather for large social events like huge festivals, pilgrimages, and religious gatherings, families get separated in the chaos. Cell networks collapse from sheer congestion precisely when people need them most. A panicked parent searching for a lost child has no way to communicate, and centralized systems requiring internet connectivity and server infrastructure simply don't work when connectivity fails. MELA solves this by turning any volunteer's phone into a fully functional lost-and-found station that works completely offline. A parent speaks in their own language, and the app powered by on-device Gemma 4 E2B AI converts their words into a structured record of what to look for. Rather than relying on centralized face-recognition databases, MELA uses voice descriptions and attribute matching, keeping the system privacy-first and accessible even when no photos exist. Multiple stations sync over a local phone hotspot using WebSocket relay, while Hive persistence ensures every card survives network failures and phone restarts. When another volunteer finds someone matching that description, they can verify the match right there without needing internet. The entire system is multilingual, privacy-first, and designed to coordinate hundreds of volunteers across a single gathering in the real world where connectivity is unreliable and speed matters.

Team

Amitesh-AJ10+1

Awards

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