PrivLend

This project introduces a decentralized, privacy-preserving loan verification system that enables borrowers to prove their creditworthiness without revealing sensitive financial data. Borrower uploads financial data, sent directly to the TEE for secure processing. The TEE processes them, generates a credit score, and a ZKP ensures trustless verification. Lenders can confidently issue loans without ever seeing private borrower data. This approach enhances privacy, expands financial access, and creates a more inclusive DeFi lending ecosystem. 🚀 Later on we could still add Chainlink Functions to fetch offchain data as well as The Graph Chainlink & The Graph: fetch reputation & financial data trustlessly Chainlink—> fetches off-chain TradFi data (like salary etc.) The Graph —> queries on-chain DeFi credit history (e.g. lending history). ✅ Innovative Use of TEE + ZKPs → Unique, privacy-preserving lending model. ✅ Addresses Real DeFi Challenges → Solves trust, identity, and financial privacy issues. ✅ Scalable & Future-Ready → Can be integrated with existing lending protocols & DeFi platforms.

✅ Trusted Execution Environments (TEE) → Secure off-chain financial computation. ✅ Large Language Model (LLM) in TEE → AI-powered credit scoring. ✅ Zero-Knowledge Proofs (ZKPs) → Privacy-preserving verification mechanism. ✅ Smart Contracts (Solidity) → On-chain loan decision-making and fund disbursement. ✅ Frontend (React/Next.js, Web3.js/Ethers.js) → Seamless user experience.