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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM31324

REVIEW ON DESKTOP ASSISTANT FOR VISUALLY IMPAIRED: MIME.AI

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM31324

Volume:

8 |

4 |

Apr 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM31324

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

ND

Nutan Dolzake

HC

Hatim Contractor

SD

Sakshi Dorage

VD

Varun Dasari

MD

Mehtab Dawkar

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Abstract

The study begins by examining the historical evolution of desktop assistants, highlighting key milestones and breakthroughs in assistive technology. It then delves into the core functionalities that make these desktop assistants valuable tools for the visually impaired. These functionalities include speech synthesis, screen reading, voice commands, and tactile feedback mechanisms. The review addresses the challenges and limitations associated with current desktop assistant technologies for the visually impaired. Mime.ai is a model which includes key aspects typically associated with desktop assistants for the visually impaired like Text-to-Speech technology, voice commands, AI and Machine Learning Integration, Web Accessibility and Compatibility with Other Assistive Technologies. It examines factors such as learnability, efficiency, memorability, errors, and user satisfaction, providing insights into the overall usability of the assistant. The review assesses seamless integration of the assistant with screen readers, braille displays, magnification software, and productivity tools. Finally, the review considers the impact of the desktop assistant on the daily lives of visually impaired users. It presents user feedback and testimonials regarding the utility, effectiveness, and overall satisfaction with the assistant, highlighting its potential to improve accessibility and productivity for this user group.

KEYWORDS

Natural Language Processing Neural Network Voice Commands Text-to-Speech technology.

Cite This Article

Nutan Dolzake, Hatim Contractor, Sakshi Dorage, Varun Dasari, Mehtab Dawkar, "REVIEW ON DESKTOP ASSISTANT FOR VISUALLY IMPAIRED: MIME.AI," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 4, Apr 2024. https://doi.org/10.55041/IJSREM31324

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Publication Date

12/31/45402

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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