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Paper ID:IJSREM67755

AI-IOT Based Smart Election Authentication And Integrity Monitoring System

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM67755

Volume:

10 |

10 |

Oct 2026

Pages:

1-4

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

KVG

Kalyani Vijay Gurav

Electronics and Telecommunication

Dr.Daultrao Aher College of Engineering

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SFM

Saniya Faruk Mujawar

Electronics and Telecommunication

Dr.Daultrao Aher College of Engineering

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DAW

Dnyaneshwari Anna Waghmare

Electronics and Telecommunication

Dr.Daultrao Aher College of Engineering

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Mentors

P

Prof.S.N.Wangikar

Electronics and Telecommunication

Dr.Daultrao Aher College of Engineering

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Abstract

Conventional polling relies on manual identity checks, isolated voting machines and paper-based reporting, which leave room for impersonation, double voting, booth tampering and slow counting. This paper presents the design of SecureVoteGuard, an AI-IoT based smart election authentication and integrity monitoring system built around a low-cost ESP32 controller. A voter is verified in three successive stages: an RFID card read by an RC522 module, face matching on an ESP32 camera image, and fingerprint matching on a DY50 optical sensor. The candidate buttons are unlocked only when all three stages pass. A duplicate-vote check against a cloud database marks each voter as “Voted” the moment a vote is cast, tamper switches in the enclosure raise local alarms and cloud alerts when the unit is opened, and a real-time dashboard shows voter verification, votes cast, authentication failures and tampering alerts to the election officer. The prototype is planned as a mini polling booth and is expected to provide three-layer authentication, instant duplicate-vote rejection, immediate tamper alerts and live monitoring at an estimated cost of about Rs. 7000.

KEYWORDS

Smart Election Electronic Voting Artificial Intelligence Internet of Things RFID Face Recognition Fingerprint ESP32.

Cite This Article

Kalyani Vijay Gurav, Saniya Faruk Mujawar, Dnyaneshwari Anna Waghmare, Prof.S.N.Wangikar, "AI-IOT Based Smart Election Authentication And Integrity Monitoring System," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 10, pp. 1-4, Oct 2026.

Full Article/Conclusion

SecureVoteGuard, an AI-IoT based smart election system built on an ESP32 controller, RFID, face recognition, fingerprint authentication and cloud storage, has been designed to address identity theft, double voting, booth tampering, the lack of live alerts and slow counting in conventional polling. The prototype is expected to deliver successful three-layer authentication, instant duplicate-vote elimination, immediate physical tamper alerts, live centralized data synchronization and a comprehensive real-time monitoring dashboard. Its low cost and modular structure make it suitable for demonstration and for further development towards larger deployments. The next steps are to build and test the prototype with valid, duplicate and fake voters, then to extend the design to multiple booths and use analytics to improve the service.

References

[1] A. Manoj et al., “Next Generation Voting Approach: A Secured Biometric Voting System,” IEEE, 2024. [2] “Dual Authentication Voting System with Facial Recognition and Fingerprint Using CNN,” IEEE, 2023. [3] “Enhancing Voter Identity Verification Through Cloud Computing Enabled Biometric Authentication – Modern Voting,” IEEE, 2024. [4] “Fingerprint-Authenticated Voting System with Real-Time Data Sharing via Android Application,” IEEE, 2025. [5] S. Najam Syed, A. Z. Shaikh and S. Naqvi, “A Novel Hybrid Biometric Electronic Voting System: Integrating Finger Print and Face Recognition.”               

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Publication Date

10/9/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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