Eyes-Free Browsing: Bridging the Gap for the Blind An AI based Web Assistive Technology |
Author(s): |
| Hephzibah Gladys J , Francis Xavier Engineering College; Jesslin Persis M, Francis Xavier Engineering College; Madhumitha M, Francis Xavier Engineering College; Padma Sundari E, Francis Xavier Engineering College |
Keywords: |
| Blind Accessibility, Digital Inclusivity, Assistive Technology, Auditory Cues, Eyes Free Browsing, Artificial Intelligence, Machine Learning, Natural Language Processing |
Abstract |
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This paper explores the challenges faced by blind individuals in accessing online content and introduces an innovative virtual assistant designed to bridge the accessibility gap for the visually impaired. Traditional tools like screen readers and refreshable braille displays are critiqued for their limitations in providing a natural and efficient browsing experience. The proposed solution addresses these shortcomings by offering features such as voice navigation, effective image description using AI, live interaction with auditory cues, contextual understanding through NLP and ML, personalization options, and seamless integration with braille hardware. Through groundbreaking implementation and a user-centric approach, this solution revolutionizes the digital experience for individuals with disabilities, setting new standards for accessibility and inclusivity in technology. |
Other Details |
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Paper ID: IJSRDV12I80031 Published in: Volume : 12, Issue : 8 Publication Date: 01/11/2024 Page(s): 29-32 |
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