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. |
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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
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.