Creditworthiness assessment algorithms in HUMA rely on artificial intelligence.
The project does not use random models, but analyzes income data, contracts, decentralized credit history, and transaction history to provide a realistic and transparent assessment for borrowers. This makes financing more accurate and fair.
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