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  Published Paper Details:

  Paper Title

Voice Assistant For WIndows

  Authors

  Vineet K Joshi,  Mohammad Ateeq,  D Naga Praneeth,  Dr. K C Sreedhar

  Keywords

voice assistant, windows voice assistant, python voice assistant

  Abstract


technology field has made a lot about progress recently, & it keeps becoming better. We could only perform specific jobs in beginning because there were only computer systems available, but new technologies have since been created, including machine learning, artificial intelligence, deep learning, & others. In recent years, artificial intelligence (AI) has advanced significantly, & its capabilities are constantly growing. Natural language processing (NLP) is an area where artificial intelligence is used. Natural language processing (NLP) enables users to converse in their native tongue with voice assistants & other computer systems. To address challenges people face while interacting with machines, a variety about voice assistants have been created & are continuously being enhanced for better performance. Various modules, including OS, Pysttx3, speech recognition, date/time, Wikipedia, smtplib, & many others, will be used. Python is being used to create a voice assistant that enables users to complete a variety about tasks without using keyboard. This article's goal is to study intelligent behaviour about voice assistants & how they might be applied to daily tasks, learning, & other objectives.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT23A5292

  Paper ID - 237663

  Page Number(s) - k847-k851

  Pubished in - Volume 11 | Issue 5 | May 2023

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Vineet K Joshi,  Mohammad Ateeq,  D Naga Praneeth,  Dr. K C Sreedhar,   "Voice Assistant For WIndows", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 5, pp.k847-k851, May 2023, Available at :http://www.ijcrt.org/papers/IJCRT23A5292.pdf

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ISSN: 2320-2882
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ISSN and 7.97 Impact Factor Details


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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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