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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

Issue per Year : 12

Volume Published : 11

Issue Published : 118

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Paper Title: Integrating Natural Language Processing In Ai-Powered Personalized Virtual Assistant
Authors Name: P.Likhitha sree , A.S.Bhagya sree , B.Namatha , Ms.M.Deepika , Prof.M.E.Palanivel
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IJRTI_203429
Published Paper Id: IJRTI2505069
Published In: Volume 10 Issue 5, May-2025
DOI:
Abstract: The virtual assistant system that is designed to give the user experience through seamless interaction with digital systems. The system is equipped with multiple capabilities ranging from personalized greetings to advanced system management. By leveraging AI technologies such as natural language processing and speech recognition. It prioritizes user convenience by offering voice and text interface, simplifying interaction with complex systems. The virtual assistant is designed for exclusive access by authenticated users ensuring a personalized and secure experience. This model enhances privacy, protects sensitive information. This virtual assistant serves as a reliable Efficient and secure companion in both personal and professional environment
Keywords: Virtual assistant, Speech recognition, Text- to-speech conversion, Natural Language Processing, PyQt5.
Cite Article: "Integrating Natural Language Processing In Ai-Powered Personalized Virtual Assistant", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 5, page no.a590-a595, May-2025, Available :http://www.ijrti.org/papers/IJRTI2505069.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2505069
Registration ID:203429
Published In: Volume 10 Issue 5, May-2025
DOI (Digital Object Identifier):
Page No: a590-a595
Country: chittoor, Andhra Pradesh, India
Research Area: Computer Science & Technology 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2505069
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2505069
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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