A Novel Hybrid Voting System Using Machine Learning

Author:

Shwetha S 1,Raghavendra S P 1

Affiliation:

1. JNN College of Engineering, Shimoga, India

Abstract

In this proposed system a facial and fingerprint recognition-based technique is implemented. This technique uses computer vision and machine learning algorithms for the recognition of faces. The goal is to make the voting process safe, secure and easy to use. This system will eliminate the need for voting booths and electoral votes. The system will also be much more helpful for the voters because they don’t need to stand in a long queue to cast their vote. The proposed system uses an Android mobile phone to capture the user photo and the python server in the backend performs facial recognition. The system is much safer than the traditional system and also saves money which is usually spent during the election process. It also eliminates the need for human resources and time for managing the voting system.

Publisher

Naksh Solutions

Subject

General Medicine

Reference11 articles.

1. Abbas Behrainwala, Amar Saxena,Ishika Navlani,Sakshi Sahay, Noshir Tarapore,Smart voting system using facial recongnitionInternatinal Journal for Research in Applied Science & Engineering Technology(IJRASET).ISSN 2321-9653,Volume 10 Issue 1 Jan 2022.

2. Chandra keerthi pothina, Atla Indu Reddy, Ravikumar C V, Smart voting system using Facial Detection International Journal of Innovative Technology an Exploring Engineering (IJITEE), ISSN:2278-3075, Volume-9, Issue-6 april 2020.

3. Girish H S,Gowtham R, Harsha K N ,Manjunatha B, Smart Voting System International Research journal of engineering Technnology(IRJET), ISSN:2395-0072, volume:06, Issue 05 MAy 2019.

4. Mahalakshmi Mabla Naik, Dr.Preethi N Patil, Smart Voting Through Face Recognition,International Journal of Creative Research Throghts(IJCRT)

5. Nadar Rajkani Pau;raj, G Rajagopalan, M Rajesh,S.V Kiruthika, I Jasmine A/P International Journal of Innovative Technology an Exploring Engineering(IJITEE), ISSN:2278-01081, NCIECC-2017 Conference proceeding.

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