The problem AI TutorHub solves

• Lack of Verifiable Credentials: Traditional certificates are easily forged; on-chain NFTs are tamper-proof and verifiable.
• Privacy Concerns: Zero-knowledge proofs (ZKPs) ensure academic integrity without exposing personal data.
• Centralized Platforms: Decentralization prevents data silos and gives students control over their achievements.
• Inefficient Verification: Institutions and employers can instantly verify credentials without intermediaries.

💡 Use Cases and Benefits:

• Students: Earn verifiable NFT-based credentials and build on-chain reputations.
• Employers: Instantly validate applicants’ qualifications via zkVerify.
• Institutions: Provide interoperable certifications recognized across platforms.
• Tutors/Platforms: Offer secure, blockchain-powered courses with transparent assessments.

Challenges I ran into

• ZK Integration: Faced gas optimization issues integrating zkVerify with EVM; resolved with batch verification and calldata compression.
• AI Evaluation Consistency: Overcame scoring inconsistencies by fine-tuning the AI model and adversarial testing.
• On-Chain Storage Costs: Reduced expenses by using IPFS for certificates and on-chain metadata.
• Smart Contract Security: Addressed vulnerabilities with Solidity best practices, including re-entrancy protection and access control measures.