KNN-Powered Online Voting System to Improve Accuracy and Transparency Election Process

IJARCCE 2026 Open access

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Authors: Prof. Thillai Nayagi S, M G Shreya, Shrusti K, Al-Mateenu Jan
DOI: 10.17148/ijarcce.2026.15106
Cited by: 0

Abstract

The proposed system aims to create a safe online voting system by developing a face recognition-based authentication model using K-Nearest Neighbors (KNN).The system verifies voters through unique credentials and a real-time photo captured via webcam.It strictly enforces a one-vote-per-user policy by comparing live images with stored database records.Results are updated every minute, ensuring transparency and efficiency while reducing long queues at polling stations.

Fields of Study & Subjects

Internet Traffic Analysis and Secure E-voting Intravenous Infusion Technology and Safety Scientific and Engineering Research Topics

Publication details

Journal / source
IJARCCE
Volume
15
Issue
1
Publication date
2 January 2026