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SECURE VIRTUAL VOTING SYSTEM USING FACIAL AUTHENTICATION AND BLOCKCHAIN
The rapid evolution of digital technologies has significantly influenced the transformation of traditional systems into more efficient and secure digital platforms. Voting, being a fundamental democratic process, still relies largely on conventional methods such as ballot papers and electronic voting machines, which suffer from issues like security vulnerabilities, voter impersonation, and limited accessibility. This project presents a secure virtual voting system that integrates facial authentication and blockchain technology to address these challenges. The system introduces a multi-level authentication mechanism that includes unique identification verification, voter credentials, and real-time facial recognition to ensure that only authorized individuals can cast votes. Facial recognition, powered by machine learning algorithms, enhances identity verification accuracy and prevents fraudulent activities. Blockchain technology is employed to store votes in a decentralized and tamper-proof ledger, ensuring transparency, immutability, and trust in the voting process. The proposed system enables remote voting, eliminating the need for physical presence at polling stations, thereby increasing voter participation and convenience. Additionally, the system provides real-time vote recording and result generation while maintaining data integrity and security. By combining biometric authentication with blockchain, the system significantly improves reliability, reduces human intervention, and minimizes operational costs. This approach modernizes the electoral process and offers a scalable, efficient, and secure solution suitable for future digital governance systems
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