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PayGuard

Built at Meta Global AI Developer Hackathon · Oct 26, 2026 · Remote

PayGuard — Demo video

In Peru, millions of people pay with Yape, and small shops lose money every day to fake or reused payment screenshots. The cashier has no way to check them, and Yape has no public API. PayGuard solves it with two pieces: an Android app on the shop's phone that captures every real Yape notification, and a WhatsApp assistant for cashiers. The cashier forwards the customer's screenshot, or simply asks by voice or text, and Muse Spark reads the amount, recipient, time and security code. PayGuard then matches it against the real payment and replies ✅ verified, ⏳ still waiting, or ❌ doesn't match, in seconds. The owner gets a WhatsApp alert when a screenshot is reused or edited, plus a web dashboard with every verification and Excel/PDF reports. Key rule: the AI reads, but the decision always comes from a real payment, never from the model's opinion alone.

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