Online Voting System with Face Recognition

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Authors: Prof. K. R. Khairate, Krushna Munde, Prasad Ipper, Savita Mali Dipak Jawale
Cited by: 0
References: 2

Abstract

Today's The increasing demand for a secure and transparent voting system has highlighted the limitations of traditional election methods, such as impersonation, duplicate voting, and high administrative effort. To address these challenges, this project introduces an Online Voting System with Face Recognition, developed as a web and mobile-based platform. The system verifies voter identity through live facial recognition integrated with Aadhaar and Election Commission records, ensuring that only eligible and genuine voters are allowed to participate in the voting process. After successful verification, voters can cast their vote through a simple and fair interface where all candidates and symbols are displayed according to Election Commission guidelines. The system enforces the one voter–one vote rule by blocking repeat access and securing all voting data using encryption and strict validation controls. This solution aims to improve election security, reduce fraud, and make voting more accessible, efficient, and trustworthy through the use of modern digital technologies.

Fields of Study & Subjects

Internet Traffic Analysis and Secure E-voting User Authentication and Security Systems Blockchain Technology Applications and Security

Publication details

Journal / source
International Journal of Advanced Research in Science Communication and Technology
Pages
46–46
Publication date
14 January 2026