Voice Bot for Visually Impaired Persons using NLP

As digital platforms continue to dominate daily tasks, visually impaired users face substantial barriers in accessing these tools, performing everyday activities, and navigating their physical environments safely. Our proposed system leverages advancements in artificial intelligence (AI) and voice recognition technology to create an intuitive, user-centered solution. The voice-controlled interface allows users to perform tasks such as browsing the internet, managing their schedules, sending messages, tracking fitness, and staying socially connected. By minimizing the reliance on visual input, the system provides a more inclusive way for visually impaired individuals to engage with the digital world. Additionally, the system includes a real-time obstacle detection feature that uses auditory feedback to alert users of potential hazards, thus enhancing safety during physical navigation. AI algorithms enable the system to adapt to user-specific needs, providing context-aware, personalized assistance, and continuously learning from user interactions. This project not only focuses on improving daily functionality and user experience but also emphasizes ease of use and accessibility. Future developments will involve the integration of advanced sensors, as well as more sophisticated machine learning algorithms to further enhance the system’s performance. Continuous feedback from users will be critical in refining the system, ensuring it remains responsive, reliable, and effective in promoting a higher degree of independence for visually impaired users.

Authors

Publication Details

Published
2025-05-09
DOI
https://doi.org/10.1109/stcr62650.2025.11019944
Citations
1
Primary Topic
Tactile and Sensory Interactions
Type
article
Field-Weighted Citation Impact
1.43
Controls
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article

Voice Bot for Visually Impaired Persons using NLP

T Raghul Vishal, B. Rakesh, M. K. Sandhya, C. Ganesh Babu et al.
1 citations
Tactile and Sensory Interactions
1.43
article

Voice Bot for Visually Impaired Persons using NLP

T Raghul Vishal, B. Rakesh, M. K. Sandhya, C. Ganesh Babu, M Prabha, S Mohanraj
article en
1 citations

Abstract

As digital platforms continue to dominate daily tasks, visually impaired users face substantial barriers in accessing these tools, performing everyday activities, and navigating their physical environments safely. Our proposed system leverages advancements in artificial intelligence (AI) and voice recognition technology to create an intuitive, user-centered solution. The voice-controlled interface allows users to perform tasks such as browsing the internet, managing their schedules, sending messages, tracking fitness, and staying socially connected. By minimizing the reliance on visual input, the system provides a more inclusive way for visually impaired individuals to engage with the digital world. Additionally, the system includes a real-time obstacle detection feature that uses auditory feedback to alert users of potential hazards, thus enhancing safety during physical navigation. AI algorithms enable the system to adapt to user-specific needs, providing context-aware, personalized assistance, and continuously learning from user interactions. This project not only focuses on improving daily functionality and user experience but also emphasizes ease of use and accessibility. Future developments will involve the integration of advanced sensors, as well as more sophisticated machine learning algorithms to further enhance the system’s performance. Continuous feedback from users will be critical in refining the system, ensuring it remains responsive, reliable, and effective in promoting a higher degree of independence for visually impaired users.

Gender equality
Openalex Percentile: Top 19%
Tactile and Sensory Interactions
1.43
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