AI Based Decentralized Academic Credential Verifica-tion System Using Blockchain

Abstract

The increasing incidents of forged academic certificates and the inefficiencies of traditional verification systems highlight the urgent need for a secure, transparent, and reliable credential management mechanism. Conventional systems are largely centralised, time-consuming, and prone to manipulation, resulting in high administrative overhead and verification delays. We prepared an AI-Based Decentralized Academic Credential Verification System that leverages blockchain technology, smart contracts, and artificial intelligence to provide a tamper-proof platform for issuing, storing, and validating academic records. Artificial Intelligence is integrated to perform anomaly detection during certificate issuance and AI-based facial authentication for students, enhancing security and preventing fraudulent entries before blockchain storage. Students gain permanent, secure access to their verified credentials, while verifiers, such as employers, can instantly authenticate certificates using blockchain records or QR code scanning, eliminating the need for intermediaries. By integrating Ethereum, Solidity, Web3.js, IPFS, React.js, and AI models, the proposed system delivers a decentralized, scalable, and cost-effective solution that enhances trust, reduces verification time, and effectively combats academic credential fraud.

Introduction

The text discusses the need for a secure and reliable academic credential verification system in modern education. Traditionally, educational institutions issued certificates that were verified through centralized systems managed by universities or third-party agencies. However, these systems face major challenges such as certificate forgery, data manipulation, cyberattacks, inefficiency, and slow verification processes, especially with the growth of digital education and globalization.

To overcome these issues, the study proposes a decentralized credential verification framework using blockchain and artificial intelligence (AI). Blockchain provides a tamper-resistant, transparent, and decentralized ledger where academic credentials can be securely stored and verified without relying on a single central authority. Certificates are stored in decentralized storage (IPFS), while their cryptographic hashes and metadata are recorded on the blockchain to ensure authenticity and traceability.

The proposed system operates as a decentralized application (DApp) built with Web 3.0 technologies, featuring role-based access for administrators, universities, students, and employers. Universities issue certificates through the platform, which automatically stores them on IPFS and records their hash on the blockchain. Each certificate also contains a QR code linked to the blockchain record, allowing quick and reliable verification.

To further enhance security, the system integrates AI-based techniques, including facial recognition for student identity verification, image integrity analysis, watermark detection, and anomaly detection to identify fraudulent activities. The platform also uses a Hybrid Principal Component Analysis (HPCAE) method to optimize certificate data before storing it on the blockchain.

The architecture includes several layers: a front-end web portal (Next.js) for user interaction, a backend system (Node.js and Express.js) for processing requests and managing AI modules, and a blockchain layer (Ethereum with Polygon network) that handles smart contracts for certificate issuance, verification, and revocation.

The workflow begins when an authorized university uploads a certificate. The system processes and stores the certificate on IPFS, records its hash on the blockchain, and generates a QR code. When verification is required, employers or institutions scan the QR code or enter the certificate ID. The system compares the stored blockchain hash with the certificate’s hash to confirm authenticity. If the hashes match, the certificate is verified as valid.

Conclusion

Overall, the proposed system provides a secure, scalable, and transparent solution for academic credential management, reducing administrative workload, preventing certificate forgery, and enabling fast, trustworthy verification for students, institutions, and employers.

References

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Copyright

Copyright © 2026 P. Gayathri Reddy, P. Charitha Reddy, P. Yoshitha, Mr. T Vinay Simha Reddy. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.