zkScholar
AI-Powered Decentralized Credential & Research Verification Using zkVerify
Created on 11th February 2025
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zkScholar
AI-Powered Decentralized Credential & Research Verification Using zkVerify
The problem zkScholar solves
Traditional academic and research verification is slow, centralized, and prone to fraud. zkScholar enables privacy-preserving credential verification using zero-knowledge proofs (ZKPs) while ensuring authenticity.
- Students can prove degrees & certifications without exposing personal data.
- Researchers can verify peer reviews and funding history anonymously.
- Employers can verify candidate qualifications securely.
- Institutions can issue fraud-proof credentials on-chain.
zkScholar ensures trust, decentralization, and scalability using zkVerify, EDU Chain, and Arbitrum.
Challenges I ran into
🔹 Integrating zkVerify for credential proofing – Had to optimize proof generation for fast verification.
🔹 AI-based fraud detection – Implemented OCR (Optical Character Recognition) and LLM-based analysis for detecting fake credentials.
🔹 Deploying on Arbitrum Stylus – Rust-based smart contract development required debugging compatibility issues with zkVerify.
🔹 Ensuring user privacy – Built a system that allows anonymous credential verification without exposing user data.
Through constant testing and iterations, we overcame these issues to create a seamless, efficient, and scalable solution.
Tracks Applied (5)
Arbitrum Stylus Web3 dApp with zkVerify
Arbitrum
Arbitrum Web3 dApp with zkVerify
Arbitrum
AI Web3 Application with zkVerify
Open Campus EDU Chain
DeSci - Decentralized Science Web3 Application with zkVerify
Open Campus EDU Chain
zkVerify Main Prize Track
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