Online E-Voting System

Authors

  • Dr. P. Suresh Kumar Department Of Ece, Bhoj Reddy Engineering College For Women, India. Author
  • Rachamalla Swetha, Pendela Shravya, Golla Sravani B. Tech Students, Department Of Ece, Bhoj Reddy Engineering College For Women, India. Author

Abstract

This paper enhances the online voting system by 
integrating thumb, face, and Aadhaar validation, 
ensuring secure and fraud-resistant voting. It 
proposes a shift from India's cumbersome offline 
system to a streamlined approach, enabling remote 
voting via two-step authentication using face 
recognition and OTP. Voters can also vote offline if 
preferred and verify their vote allocation. The 
system can support voting outside designated 
constituencies, simplifies tallying, and ensures quick 
result announcements by the Election Commission 
of India. Proposed system is more advance compare 
to the state of art e-voting systems. Proposed method 
provides higher security as it uses multi-level 
authentication than one stage authentication. 
Python programming and Django framework has 
been used for designing the proposed model.

Downloads

Published

2025-01-28

How to Cite

Online E-Voting System. (2025). International Journal of Engineering and Science Research, 15(1s), 337-346. https://www.ijesr.org/index.php/ijesr/article/view/469