A BLOCKCHAIN-ENABLED INTELLIGENT FRAMEWORK FOR SECURE AND TRANSPARENT ELECTRONIC VOTING
Abstract & Details
Research Area
Computer Engineering
Keywords
Artificial Intelligence
Blockchain
Electronic Voting System
Face Verification
Secure Voting
Smart Contracts
Voter
3Authentication
Data Integrity
Decentralized System
Election Transparency.
Abstract
— Electronic voting systems require strong security, transparency, and reliability to ensure fair and trustworthy elections. This paper proposes an AI-assisted blockchain framework for secure and transparent electronic voting that integrates face verification technology and blockchain to enhance the voting process. Artificial Intelligence is used for face verification-based voter authentication, ensuring that only authorized voters can access the system and preventing identity fraud or duplicate voting. Once a voter is authenticated, the vote is recorded on a blockchain network, which provides adecentralized and tamper-resistant ledger to securely store all voting transactions. Blockchain ensures that votes cannot be altered or deleted, thereby maintaining transparency and integrity. Additionally, smart contracts are used to automate vote validation and counting processes. The proposed framework improves voter privacy, system security, and auditability while minimizing the risk of manipulation. This approach provides a reliable, transparent, and efficient electronic voting system suitable for modern democratic elections.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | PAMU NAGARJUNA | BHARATH INSTITUTE OF HIGHER EDUCATION AND RESEARCH |
| 2 | POLISETTI LOVA NAGESH | BHARATH INSTITUTE OF HIGHER EDUCATION AND RESEARCH |
| 3 | Nuthalapati Ajay Gananadh | BHARATH INSTITUTE OF HIGHER EDUCATION AND RESEARCH |
| 4 | Nunna Venkat Eswar Sai | BHARATH INSTITUTE OF HIGHER EDUCATION AND RESEARCH |
| 5 | Dr. L. Godlin Atlas | BHARATH INSTITUTE OF HIGHER EDUCATION AND RESEARCH |
How to Cite
Use the following formats to cite this article in your research.
APA Style
NAGARJUNA, PAMU, NAGESH, POLISETTI LOVA , Gananadh, Nuthalapati Ajay, Sai, Nunna Venkat Eswar, & Atlas, Dr. L. Godlin (2026). A BLOCKCHAIN-ENABLED INTELLIGENT FRAMEWORK FOR SECURE AND TRANSPARENT ELECTRONIC VOTING. International Journal of Advance Research and Innovative Ideas In Education, 12(3), 6-22.
MLA Style
NAGARJUNA, PAMU, et al. "A BLOCKCHAIN-ENABLED INTELLIGENT FRAMEWORK FOR SECURE AND TRANSPARENT ELECTRONIC VOTING." International Journal of Advance Research and Innovative Ideas In Education, vol. 12, no. 3, 2026, pp. 6-22.
IEEE Style
PAMU NAGARJUNA, POLISETTI LOVA NAGESH, Nuthalapati Ajay Gananadh, Nunna Venkat Eswar Sai, and Dr. L. Godlin Atlas, "A BLOCKCHAIN-ENABLED INTELLIGENT FRAMEWORK FOR SECURE AND TRANSPARENT ELECTRONIC VOTING," International Journal of Advance Research and Innovative Ideas In Education, vol. 12, no. 3, pp. 6-22, 2026.
Vancouver Style
NAGARJUNA PAMU, NAGESH POLISETTI LOVA , Gananadh Nuthalapati Ajay, Sai Nunna Venkat Eswar, Atlas Dr. L. Godlin. A BLOCKCHAIN-ENABLED INTELLIGENT FRAMEWORK FOR SECURE AND TRANSPARENT ELECTRONIC VOTING. International Journal of Advance Research and Innovative Ideas In Education. 2026;12(3):6-22.
Harvard Style
NAGARJUNA, PAMU, NAGESH, POLISETTI LOVA , Gananadh, Nuthalapati Ajay, Sai, Nunna Venkat Eswar, & Atlas, Dr. L. Godlin (2026) 'A BLOCKCHAIN-ENABLED INTELLIGENT FRAMEWORK FOR SECURE AND TRANSPARENT ELECTRONIC VOTING', International Journal of Advance Research and Innovative Ideas In Education, 12(3), pp. 6-22.
Chicago Style
NAGARJUNA, PAMU, et al. "A BLOCKCHAIN-ENABLED INTELLIGENT FRAMEWORK FOR SECURE AND TRANSPARENT ELECTRONIC VOTING." International Journal of Advance Research and Innovative Ideas In Education 12, no. 3 (2026): 6-22.
Turabian Style
NAGARJUNA, PAMU, et al. "A BLOCKCHAIN-ENABLED INTELLIGENT FRAMEWORK FOR SECURE AND TRANSPARENT ELECTRONIC VOTING." International Journal of Advance Research and Innovative Ideas In Education 12, no. 3 (2026): 6-22.
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