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.
Keywords: Face recognition, KNN, Online Voting System, Machine Learning.
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DOI:
10.17148/IJARCCE.2026.15106
[1] Thillai Nayagi S, Shreya G, Shrusti K, Al-Mateenu Jan, "KNN-Powered Online Voting System to Improve Accuracy and Transparency Election Process," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2026.15106
