zk-credit
Trustless credit scoring for under collaterilzed loans using machine learning.
Created on 10th June 2023
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zk-credit
Trustless credit scoring for under collaterilzed loans using machine learning.
The problem zk-credit solves
Currently in crypto lending markets, collateral is the most common requirement to be eligible for a loan. In cases where a borrower may be under collateralized human intervention often occurs. This leads to human bias against a borrowers race, region, and other unrelated factors leading to a final decision often not in favour of the borrower.
zk-credit solves this by using a standardized heuristic model which the borrow runs on their own credit history, submitting a zk proof of the result showing their credit worthyness.
Tracks Applied (2)
Regenerative Finance & Decentralized Economies
Community, Activism & Accessibility
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