UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 10 Issue 9
September-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2309247


Registration ID:
524781

Page Number

c428-c432

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Title

VIRTUAL ASSISTANT FOR WINDOWS USING AI & ML

Abstract

This research paper focuses on the development of a virtual assistant for Windows using AI and ML. The paper explains the working of the virtual assistant which is designed to recognize human voice and respond through integrated voices. The assistant is developed using Python programming language and various libraries to create a personalized voice assistant that carries out user voice commands and executes tasks. The system captures audio input from the microphone, converts it into written text, and utilizes the Google Text to Speech (GTTS) engine to transform it into an English language audio file. The audio file is subsequently played using the play sound package within the Python programming language. In the modern world, voice control is a rapidly evolving feature that is transforming the way people live. Voice assistants have become a common feature of smartphones and laptops and this research paper aims to introduce a voice assistant for Windows users. By integrating AI and ML, the system is designed to provide accurate and useful responses to user queries, while also being able to adapt its responses and behavior based on user interactions.

Key Words

Virtual assistant, AI, ML, voice control, GTTS engine, Python.

Cite This Article

"VIRTUAL ASSISTANT FOR WINDOWS USING AI & ML ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 9, page no.c428-c432, September-2023, Available :http://www.jetir.org/papers/JETIR2309247.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"VIRTUAL ASSISTANT FOR WINDOWS USING AI & ML ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 9, page no. ppc428-c432, September-2023, Available at : http://www.jetir.org/papers/JETIR2309247.pdf

Publication Details

Published Paper ID: JETIR2309247
Registration ID: 524781
Published In: Volume 10 | Issue 9 | Year September-2023
DOI (Digital Object Identifier):
Page No: c428-c432
Country: PUNE, MAHARASHTRA, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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