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AI-Powered Voting System Enhancing Accessibility for Visually Impaired Individuals in Elections

by Chanchal Antony, Anaum Fathima Shameem, Dhriti R. Sherigar, Adithi A Shetty, Shreya G.
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 186 - Number 73
Year of Publication: 2025
Authors: Chanchal Antony, Anaum Fathima Shameem, Dhriti R. Sherigar, Adithi A Shetty, Shreya G.
10.5120/ijca2025924585

Chanchal Antony, Anaum Fathima Shameem, Dhriti R. Sherigar, Adithi A Shetty, Shreya G. . AI-Powered Voting System Enhancing Accessibility for Visually Impaired Individuals in Elections. International Journal of Computer Applications. 186, 73 ( Mar 2025), 18-22. DOI=10.5120/ijca2025924585

@article{ 10.5120/ijca2025924585,
author = { Chanchal Antony, Anaum Fathima Shameem, Dhriti R. Sherigar, Adithi A Shetty, Shreya G. },
title = { AI-Powered Voting System Enhancing Accessibility for Visually Impaired Individuals in Elections },
journal = { International Journal of Computer Applications },
issue_date = { Mar 2025 },
volume = { 186 },
number = { 73 },
month = { Mar },
year = { 2025 },
issn = { 0975-8887 },
pages = { 18-22 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume186/number73/ai-powered-voting-system-enhancing-accessibility-for-visually-impaired-individuals-in-elections/ },
doi = { 10.5120/ijca2025924585 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2025-03-25T22:41:34.272052+05:30
%A Chanchal Antony
%A Anaum Fathima Shameem
%A Dhriti R. Sherigar
%A Adithi A Shetty
%A Shreya G.
%T AI-Powered Voting System Enhancing Accessibility for Visually Impaired Individuals in Elections
%J International Journal of Computer Applications
%@ 0975-8887
%V 186
%N 73
%P 18-22
%D 2025
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The dearth of accessible voting equipment often renders it difficult for blind voters to participate in elections safely and freely. Voter autonomy and privacy are compromised by the need for physical help in many current systems. This article presents an artificial intelligence (AI)-powered voting system created especially for people with visual impairments. It uses natural language processing (NLP) and sophisticated speech recognition to provide a smooth, safe, and easy-to-use voting experience. Voters may precisely and anonymously choose candidates, explore the ballot, validate their identities, and cast their ballots with voice-guided interactions that are easy to understand. The technology ensures equitable access to the election process by eliminating the need for physical help, upholding democratic norms. A 30% rise in blind people voting and higher user satisfaction as a result of its accessibility and ease of use are among the anticipated results. This innovative approach marks a crucial step toward fostering inclusivity, empowering visually impaired voters, and making elections more accessible for all.

References
  1. Dema Choki et al. “Design of Electronic Voting System for Blind individual Persons Using Arduino Mega 2560”. In: Bhutan Journal of Research and Development (2022).
  2. Abhishek Parmar et al. “Secure E-Voting System using Blockchain technology and authentication via Face recognition and Mobile OTP”. In: 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE. 2021, pp. 1–5.
  3. N Sreenivasa, Gopal Agarwal, and Rishab Jain. “Online Voting System by Using Three Step Verification”. In: ITM Web of Conferences. Vol. 57. EDP Sciences. 2023, p. 01010.
  4. Ramya Govindaraj, P Kumaresan, et al. “Online voting system using cloud”. In: 2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE). IEEE. 2020, pp. 1–4.
  5. Puja Sharma et al. “SECURED SMART VOTING SYSTEM USING AADHAR”. In: (2020).
  6. Rohit Sroa et al. “A Visionary Approach to Smart Voting System”. In: Proceedings of the International Conference on Innovative Computing & Communication (ICICC). 2021.
  7. Online Voting System with Face Recognition and One Time Password Uma Hombal 1 , Kalpesh Chaudhari 2 , Sanika Utpat 2 , Shruti Yadav 2 , Parth Joglekar 2
  8. S. Prakash, V. Sahu and L. Kumar, "Blockchain Based E-Voting System," 2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), Greater Noida, India, 2022.
  9. V. Nanammal, J. Jebastine and R. J. Balajivasan, "Voting Machine for Blind and Amyotrophic Lateral Sclerosis People," 2023 Eighth International Conference on Science Technology Engineering and Mathematics (ICONSTEM), Chennai, India, 2023
Index Terms

Computer Science
Information Sciences
Voting system using Natural Language Processing

Keywords

Voting Visually impaired individual