Smart Voting System Using Machine Learning

Authors- Asst.Prof. Pooja Dongare, Asst.Prof. Nimisha Rai

Abstract-the increasing need for secure, transparent, and efficient electoral processes has led to the adoption of technology-driven solutions. this paper presents a smart voting system using machine learning to enhance election integrity, voter authentication, and fraud detection. the primary objective of this project is to develop a digital smart voting system that eliminates the vulnerabilities of traditional manual voting methods, such as paper-based ballots, which are prone to fraud and multiple voting attempts. the proposed system integrates multi-layered authentication mechanisms to ensure security and reliability. a biometric fingerprint scanner is incorporated to verify voter identity by cross-checking fingerprints against a registered database. once a voter’s identity is confirmed, they can proceed to cast their vote through an interactive panel, selecting their preferred candidate. the final vote is displayed on a liquid crystal display (lcd) to provide transparency and voter satisfaction. additionally, to enhance automation and security, the system sends a warning notification to individuals who have not yet cast their vote. this autonomous and secure voting system aims to improve electoral transparency, eliminate fraud, and enhance voter confidence in the election process.

DOI: /10.61463/ijset.vol.13.issue2.275