

U-HANDSHAKE
Team Siri Khanansuk
The big news
Gen Z can stop overspending and dodge scams before they happen. U-HANDSHAKE splits a spending wallet into three clear zones: Must Keep for upcoming bills and debts, a Protected Buffer for emergencies, and Safe-to-Spend for everything else. Before a payment, it uses deterministic calculations and explainable machine learning to show the real impact, especially under urgency, social pressure or scam tactics. Users can talk it through with a simulated U-Bot assistant. It's an integration-ready safety layer for wallets and payment apps.
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What it does
A financial decision-safety layer that partitions wallet funds, scores payment risk with deterministic rules and explainable scikit-learn models, and offers a simulated U-Bot voice assistant. Built with Next.js, React, TypeScript, Node.js, Python and Zod, using OpenRouter and ElevenLabs, tested with Vitest and Playwright on Vercel.
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U-tags
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Meet the team
This is an independent hackathon project. Some features may be prototypes. Please do your own research before relying on it.
