Inspiration & Solution Inspired by the conflict between AI utility and data privacy, we built a "Blind AI" platform. It allows servers to compute insights (like credit scores) on encrypted data without ever seeing the raw inputs.

How We Built It Using React, Node.js, and Homomorphic Encryption, we shifted trust from policy to mathematics. A Blockchain layer ensures every computation is immutably logged and auditable.

Challenges & Accomplishments Our biggest challenge was debugging encrypted math, as variables appeared as random noise. We overcame this to deliver a working Proof-of-Concept where data remains private throughout the entire process.

What's Next We plan to deploy the audit logs to a live public testnet and support more complex Machine Learning models.

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