FRAUD VOTE DETECTION USING FACIAL RECOGNITION

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.