[email protected] +91 9840521421 Scholarly Open Access, Peer-reviewed, Refereed Journal e-ISSN 2582-8746 Since 2020
  1. Home
  2. Archives
  3. 2024
  4. Vol. 5 Issue 1
  5. Article
Research Article

Embedding Artificial Intelligence for Personal Voice Assistant Using NLP

  • Paper ID 69
  • Volume 5, Issue 1
  • Pages 01-03
  • Published Online: January-February 2024
  • 37 Views
Open Access Peer Reviewed Crossref DOI

Authors

  • S. Maria Sobana1
  • M. Ramachandran2
  • R.K.Rajkumar3
  • M. Rajkumar4
  • S.Siddarthan5

1Assistant Professor, Computer Science and Engineering, K.L.N. College of Engineering, Sivagangai, Tamilnadu, India. 2345 Final Year Students, Computer Science and Engineering, K.L.N. College of Engineering, Sivagangai, Tamilnadu, India.

Article Information

Published Online
January-February 2024
Pages
01-03
Article Type
Research Article
Check for updates
check update

Abstract

View PDF

The voice assistance is an software which is able to provide a detailed response as a voice based output according to an instruction in a prompt. To seamless integration of quick responses to queries and up-to-date weather information enhances daily routines, promoting efficiency and convenience. To achieve these capabilities, technologies like NLTK, pyttsx3, and speech recognition libraries play a pivotal role. To summarize, the convergence of these tools is gradually transforming the futuristic concept of an indispensable personal assistant into an attainable reality. AI technologies have revolutionized digital assistant interactions, but as they integrate into daily life, addressing bias, ambiguity, and ethics becomes crucial.

APC from ₹1200 + 18% GST

Peer-reviewed open access₹1200 Indian (₹1400 with DOI)$80 USD internationalpaid after acceptance Peer-reviewed open access₹1200 Indian$80 USD international ₹1200 Indian · $80 intl

  • CrossRef DOI
  • ISSN 2582-8746
  • Open Access
  • Peer Reviewed
  • Plagiarism Checked
  • Google Scholar
Submit Paper