ItemConference Paper

Exploring AI-Driven Accessibility Solutions: A Comprehensive Study on Assistive Tools for the Visually Impaired

Title
Exploring AI-Driven Accessibility Solutions: A Comprehensive Study on Assistive Tools for the Visually Impaired
Creator
Vinay, M.; Jayapriya, J.; Deepa, S.; Kokilavani, T.; Rashmi, R.; Dangayach, Harshit
Description
Artificial intelligence (AI) has significant access to visually impaired persons, which enables more freedom in digital interactions. This article examines the role of AI-operated equipment, including chatbots, speech recognition, and natural language processing (NLP) models, to improve communication, education, and navigation for blind users. It undergoes the largest progress of AI-driven accessibility solutions, especially in examination and interactive virtual scriptures. Despite the remarkable progress, challenges in speech remain accreditation accuracy, user interface targeted, and real -time treatment efficiency. The study highlights the ongoing research trends, identifies significant intervals, and emphasizes the need for better training data, adaptive AI interfaces, and improved user experience to promote more inclusion in education and the professional environment. 2026 IEEE.
Source
CCIC 2026 - Contemporary Computing Innovations Conference 2026;
Date
01-01-2026
Publisher
Institute of Electrical and Electronics Engineers Inc.
Subject
Artificial Intelligence; education; NLP; scribe; speech recognition; visually impaired
Coverage
Vinay M., Christ (Deemed to be University), Department of Computer Science, Bangalore, India; Jayapriya J., Christ (Deemed to be University), Department of Computer Science, Bangalore, India; Deepa S., Christ (Deemed to be University), Department of Computer Science, Bangalore, India; Kokilavani T., Christ (Deemed to be University), Department of Computer Science, Bangalore, India; Rashmi R., Christ (Deemed to be University), Department of Computer Science, Bangalore, India; Dangayach H., Christ (Deemed to be University), Department of Computer Science, Bangalore, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISBN: 979-831952966-4;
Format
online
Language
English
Type
Conference paper

Citation

Vinay, M.; Jayapriya, J.; Deepa, S.; Kokilavani, T.; Rashmi, R.; Dangayach, Harshit, “Exploring AI-Driven Accessibility Solutions: A Comprehensive Study on Assistive Tools for the Visually Impaired,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/25773.

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