A window based application voting system using machine learning

• Main Authors: Kavitha, M., Nathiya, M., Banupriya, V., Saranya, S., Sharmila, D., Aishwarya, V. Sai, Singh, R. B. Riyaa
• Format: Conference Proceeding
• Language: English
• Subjects: Data base management systems; Elections; Face recognition; Machine learning; Voting
• ISSN: 0094-243X; 1551-7616
• DOI: 10.1063/5.0173212

The proposed model has a face recognized management vote system in the sense that voter can enter the name and take images is done before the vote is verified and accepted in the main database of Election Commission of India. The main feature of this model is there is no mis voting and the candidate will aware of his/her vote is polled to which party. By using this model the user can vote anywhere from the allocated constituent voting booths and it is not necessary to travel from one place to another for casting their votes. In this proposed work the calculation of votes is done fast manner and it is helpful for the Election Commission to conduct election in short time period with less human force. This system designed as a software application for specifically done for Election Commission which conducts Election for the citizens of India who are all above 18 years to conduct voting through online. By using this proposed model the citizens can vote by face recognition without visiting the voting booth. A complete database is maintained by the Election commission of India which has all the details of face, fingerprint and unique id if the user information matches these things he\she will be able to cast the vote. Main advantage of our proposed system is to increase the percentage of vote polling, time saving for conducting elections, awareness about voting and preventing false voting.