Electronic voting systems have gained significant importance in modern democratic processes; however, ensuring security, transparency, and voter authenticity remains a major challenge. This paper proposes a secure and decentralized e-voting system that integrates face recognition technology with blockchain. The face recognition module is used for biometric authentication, ensuring that only legitimate users can participate in the voting process. The blockchain technology is utilized to store votes in a tamper-proof and immutable manner using smart contracts. The system follows a structured workflow consisting of user registration, authentication, vote casting, and blockchain-based storage. Each vote is recorded as a transaction in the blockchain, ensuring transparency and eliminating the risk of data manipu-lation. The integration of MetaMask and Ganache enables secure transaction handling and efficient testing of the system. The proposed approach enhances the reliability and trustwor-thiness of the voting system by preventing unauthorized access, duplicate voting, and vote tampering. The system provides a scalable and secure solution for modern electronic voting appli-cations and demonstrates the potential of combining biometric authentication with decentralized technologies.
X et al. (Thu,) studied this question.