Abstract: Systems for electronic voting (E- Voting) have drawn a lot of interest as a way to improve the effectiveness, openness, and accessibility of the voting process. In order to verify voters and guarantee the fairness of the voting process, this study suggests a unique e- voting system that makes use of face recognition techniques based on machine learning and deep learning algorithms. The proposed system leverages advancements in computer vision and artificial intelligence to address the challenges of traditional voting systems, such as identity fraud, impersonation, and multiple voting instances

Keywords: E-voting, Face Recognition, Image Processing, Machine learning, KNN Algorithm, Open CV


Downloads: PDF | DOI: 10.17148/IARJSET.2025.12439

How to Cite:

[1] P. Vasantha, Ch. Ratna, E. Divya Sree, J. Lakshmi, N. Charmi Chowdary, "SECURE ONLINE E-VOTING SYSTEM WITH FACIAL RECOGNITION USING MACHINE LEARNING," International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2025.12439

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