ONLINE VOTING SYSTEM USING FACIAL BIOMETRICS VALIDATION

Abstract

An Online Voting System is a web-based system that facilitates the running of elections online. Most organizations conduct elections regularly in order to elect a leader at various positions. The elections conducted are mainly manual hence they are marred with irregularities which have negative impact on outcome. In this era of advanced technology where online systems boosts work speed, reduces mistakes and promote the generation of accuracy, having a manual system like the paper-based version becomes a mishap. Voters are expected to undergo a matching verification of their facial biometrics samples against that which is stored in the database, which is identified through the use of a unique voter identification number assigned during registration. The project is made able to achieve a high success rate in the use for conducting elections as it is able to stamp multiple registrations by voters through the combined use of both the unique voter identification number and their unique facial biometrics. This effectively solved a lot of questions that may arise on eligibility of voters. React native was used to develop the front-end part of the Online voting system. Node was used to design the backend and Mongo db was the database that was utilized. The performance of the system when compared to the current system in use was found to be satisfactory.