SECURE ONLINE E-VOTING SYSTEM WITH FACIAL RECOGNITION USING MACHINE LEARNING

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

Publication Details

Journal
IARJSET
Published
2025-04-24
DOI
https://doi.org/10.17148/iarjset.2025.12439
Citations
1
Primary Topic
Internet Traffic Analysis and Secure E-voting
Type
article
Field-Weighted Citation Impact
2.48
Controls
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article

SECURE ONLINE E-VOTING SYSTEM WITH FACIAL RECOGNITION USING MACHINE LEARNING

1 citations
IARJSET
Internet Traffic Analysis and Secure E-voting
2.48
article

SECURE ONLINE E-VOTING SYSTEM WITH FACIAL RECOGNITION USING MACHINE LEARNING

article en
1 citations

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

IARJSETVol. 12(4)
Openalex Percentile: Top 11%
Internet Traffic Analysis and Secure E-voting
2.48
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