E-Voting Through Two Step Verification using Machine Learning

Abstract

Most people are incorrect in their assumption that using paper ballots is indeed a relic of the past. Voter confidentiality was severely compromised by these early paper ballots, making them easy targets for a variety of electoral fraud schemes. Thus, it is crucial to guarantee that the ruling body is chosen through free and fair elections. The primary objective of this study is to design a trustworthy and simple-to-use platform for conducting elections online. In terms of security, the voting problem has not been resolved. A web-based deciding to vote system that makes use of face recognition software and Gmail verification is the focus of this system. There are no barriers that can be avoided when using the “E-Voting System” outlined above. At their core, online voting systems ensure that your vote counts by capping the amount of times an individual can vote. As a web-based service, there is no need for rallies, ballots, or any other analogue voting procedures (e.g. email, insecure survey software). Voting machines, online voting, and online election systems represent the same system: a voting system that takes place entirely online. All of these have to do with the same thing: having a reliable voting system that lets you survey everyone in your organization and analyze the results thoroughly in real time.