REVIEW ON DESKTOP ASSISTANT FOR VISUALLY IMPAIRED: MIME.AI
Nutan Dolzake1, Hatim Contractor2, Sakshi Dorage3, Varun Dasari4 , Mehtab Dawkar5
1 Artificial Intelligence and Data Science, Shah and Anchor Kutchhi Engineering College.
2 Artificial Intelligence and Data Science, Shah and Anchor Kutchhi Engineering College.
3 Artificial Intelligence and Data Science, Shah and Anchor Kutchhi Engineering College.
4 Artificial Intelligence and Data Science, Shah and Anchor Kutchhi Engineering College.
5 Artificial Intelligence and Data Science, Shah and Anchor Kutchhi Engineering College.
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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.
Key Words: Natural Language Processing, Neural Network, Voice Commands, Text-to-Speech technology.
