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ISSN Approved Journal || eISSN: 2582-8185 || CODEN: IJSRO2 || Impact Factor 8.2 || Google Scholar and CrossRef Indexed

Peer Reviewed and Referred Journal || Free Certificate of Publication

Research and review articles are invited for publication in March 2026 (Volume 18, Issue 3) Submit manuscript

A secure and adaptive examination revaluation framework using blockchain and subject-aware AI evaluation

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  • A secure and adaptive examination revaluation framework using blockchain and subject-aware AI evaluation

Kadali Sri Venkata Satya Sai *, Mynam Anji Babu, Sathi Vijay Kumar Reddy, Dara Premdas and J Lalu Prasad

Department of Computer Science and Engineering, Aditya College of Engineering and Technology, Surampalem, Kakinada,533437, Andhra Pradesh, India.

Research Article

International Journal of Science and Research Archive, 2026, 18(03), 319–331

Article DOI: 10.30574/ijsra.2026.18.3.0434

DOI url: https://doi.org/10.30574/ijsra.2026.18.3.0434

Received on 25 January 2026; revised on 28 February 2026; accepted on 03 March 2026

The growth of digital technologies has led to an increasing need for safe, open and effective processes for managing examination records and revaluation processes. Conventional examination evaluation systems are mostly manual, which leads to delays, human error, lack of transparency, as well as an administrative overhead. Students have to wait for extended durations to gain access to the results of revaluation or verified answer scripts which discourages confidence in the revaluation process. To overcome these issues, this paper proposes "A Secure and Adaptive Examination Revaluation Framework Using Blockchain and Subject-Aware AI Evaluation." The proposed framework uses a private blockchain to securely store the finalised examination records and ensure data integrity, authenticity and prevent unauthorized modifications. Following result declaration, students will be able to submit their answer scripts digitally and submit an application for revaluation through a secure web-based platform, allowing for more efficient and faster processing. The framework supports typed and hand-written answer scripts due to the use of Optical Character Recognition (OCR) techniques to extract text. A subject-aware, rule-based AI evaluation module is used to analyse the extracted content using predefined academic rubrics and domain-specific keywords for generating the question-wise suggested marks in an explainable and consistent manner. To ensure that fairness and accountability is ensured, an evaluation produced by AI generators is reviewed by authorized academic personnel via multi-level approval workflow before being finalized. By combining blockchain technology with subject-aware AI-assisted evaluation, the proposed framework ensures less human workload, faster processing of revaluation and improves the transparency and trust of examination systems. The unalterable nature of record storage using blockchain technology enhances the trust of students, faculty members and examination authorities, paving the way for the adaptation of the framework in modern-day educational institutions.

Blockchain Technology; Examination Revaluation Framework; Subject-Aware AI Evaluation; Optical Character Recognition; Rule-Based Scoring; Secure Academic Records; Tamper-Proof Storage

https://ijsra.net/sites/default/files/fulltext_pdf/IJSRA-2026-0434.pdf

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Kadali Sri Venkata Satya Sai, Mynam Anji Babu, Sathi Vijay Kumar Reddy, Dara Premdas and J Lalu Prasad. A secure and adaptive examination revaluation framework using blockchain and subject-aware AI evaluation. International Journal of Science and Research Archive, 2026, 18(03), 319–331. Article DOI: https://doi.org/10.30574/ijsra.2026.18.3.0434.

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


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