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  Published Paper Details:

  Paper Title

VIRTUAL ASSISTANT WITH PYTHON

  Authors

  Rahul Paithane,  Akashy Ambekar,  Pratap Awachar,  Tejas Kale

  Keywords

Virtual Assistant, Python, NLP, Wolfram Alpha API, Desktop Assistant, Python, Machine Learning, Text to Speech, Speech to Text, Language Processing, Voice Recognition, Artificial Intelligence, Internet of Things (IoT), Virtual Assistant.

  Abstract


This paper discusses ways in which new technology could be harnessed to create an intelligent Virtual Assistant with a focus on user based data. It will look at examples of intelligent programs with natural language processing that are currently available, with different categories of support, and examine the potential usefulness of one specific piece of software as a Virtual Assistant. This engages the ability to communicate socially through natural language processing, holding and analysing data within the context of the user. It is suggested that new technologies may soon make the idea of virtual personal assistants a reality. Experiments conducted on this system, combined with user testing, have provided evidence that a basic program with natural language processing algorithms in the form of a Virtual Assistant , with basic natural language processing and the ability to function without the need for other type of human input (or programming) may already be viable.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2211286

  Paper ID - 227716

  Page Number(s) - c472-c475

  Pubished in - Volume 10 | Issue 11 | November 2022

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Rahul Paithane,  Akashy Ambekar,  Pratap Awachar,  Tejas Kale,   "VIRTUAL ASSISTANT WITH PYTHON", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.10, Issue 11, pp.c472-c475, November 2022, Available at :http://www.ijcrt.org/papers/IJCRT2211286.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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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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