Revolutionizing Democratic Engagement: Block chain Based E-Voting System with Enhanced Biometric Security

Abstract

There is an enormous need for a secure and efficient online decentralized voting system. This paper mainly revolves around our proposed model for the same, that leverages the robustness of Blockchain Ethereum Technology and the precision of machine learning algorithms for user authentication. The system ensures a transparent, tamper-proof, and user-friendly voting process, enabling users to participate in elections from remote locations and eliminating the possibility of under-the-bench corruption. The fusion of a facial recognition system, built on a python-based Django-powered backend, authenticates users before voting. Upon successful authentication, voters receive their ballots via email, which directs the voters to a React-based web application for casting votes. This paper outlines the system architecture, the flow of events, the technologies utilized, and the implementation specifics, highlighting the innovation and security attributes that distinguish this methodology as a viable alternative to traditional voting methods.