Abstract: To uphold democratic integrity, this project introduces a facial recognition-based system designed to prevent electoral fraud, specifically duplicate voting and impersonation. The system integrates high-precision facial recognition technology with existing voter databases to verify voter identities in real-time as they present themselves to vote. This ensures that each individual votes only once per election, significantly reducing the potential for fraud. Facial recognition technology combined with Firebase offers a formidable solution to the problems with voter verification that have long existed.
Keywords: Facial Recognition, Voter Verification, Electoral Fraud, Firebase.
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DOI:
10.17148/IJARCCE.2024.134214
