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Original Article

Virtual Assistant for the Blind

  • Paper ID 298
  • Volume 6, Issue 2
  • Pages 190-195
  • Published Online: March-April 2026
  • 37 Views
Open Access Peer Reviewed

Authors

  • Lakshman Madheshiya1
  • Devansh Tyagi2
  • Diwakar Yadav3
  • Dr K. P. Jayant4

123 UG Scholar, Department of CSE, Raj Kumar Goel Institute of Technology, Ghaziabad, Uttar Pradesh, India. 4 Professor, Department of CSE, Raj Kumar Goel Institute of Technology, Ghaziabad, Uttar Pradesh, India.

Article Information

DOI
No DOI
Published Online
March-April 2026
Pages
190-195
Article Type
Original Article
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No DOI available for cross-reference

Abstract

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The Virtual assistance for the blind Impowered the experience numerous and hurdles in maintaining effective communication with others and their knowledge of their environment to enhance growth in the society. Therefore, the virtual assistant for the blind people recently developed will help visually impaired individuals perform daily activities independently by utilizing the use of natural language processing (NLP), text to speech conversion, speech to text conversion, and object detection in real time and show the states of error which can be removed by time estimation. Natural Language Processing allows a computer or device to understand spoken commands while providing the optimal meaningful human computer interactions which helps in best utilization of AI. The assistant for the blind uses voice recognition technology for understanding user intentions and for carrying out user requests quickly and accurately. In addition, the assistant's ability is to visually recognize objects in the user's surrounding environment provides an audio representation of everything it sees. By processing audio input and utilizing natural language processing techniques, the assistant can understand the user's intent accurately, enabling it to produce clear speech and gives best benefits by the device efficiency. Index Terms AI Memory, Episodic Memory, Semantic Search, Hybrid Retrieval, Knowledge Graph, Multi Query Generation are the different parameters

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  • ISSN 2583-1240
  • Open Access
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