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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
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Published Paper Details:
Paper Title
Adaptive Voice-Controlled PC Assistant
Authors
Rasika Deshpande, Anushka Shinde, Aaditi Banchhode, Sanika Koli, Tejashree Deokar
Keywords
Machine Learning Algorithm(ML), Natural Language Processing (NLP)
Abstract
Assistant allows users to control their systems through spoken commands. The system becomes increasingly accurate
and tailored to individual needs by learning from user behavior and preferences using machine learning algorithms. With more
usage, it improves speech recognition, anticipates actions, and generates relevant responses, enhancing overall usability. Unlike
conventional voice control systems, adaptive assistants use sophisticated technologies like Machine Learning (ML) and Natural
Language Processing (NLP) to understand diverse speech patterns and user habits. This improves accessibility and productivity
by allowing hands-free control of applications, file management, reminders, and system configurations.
IJCRT's Publication Details
Unique Identification Number - IJCRT2505424
Paper ID - 285436
Page Number(s) - d692-d701
Pubished in - Volume 13 | Issue 5 | May 2025
DOI (Digital Object Identifier) -
Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Rasika Deshpande, Anushka Shinde, Aaditi Banchhode, Sanika Koli, Tejashree Deokar, "Adaptive Voice-Controlled PC Assistant", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 5, pp.d692-d701, May 2025, Available at :http://www.ijcrt.org/papers/IJCRT2505424.pdf
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Volume 14 | Issue 3
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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