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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM32839
Volume:
8 |
5 |
May 2024
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
This research paper presents a comprehensive exploration of the development, implementation, and performance evaluation of a Python-based intelligent assistant tailored for desktop environments. The project aims to revolutionize desktop productivity by leveraging cutting-edge technologies in natural language processing (NLP), machine learning (ML), and human-computer interaction (HCI). The development phase encompasses the design and implementation of core functionalities, including task automation, information retrieval, personalized recommendations, natural language interface, security, and integration capabilities.
KEYWORDS
Publication Date
12/31/45422
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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