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Voice-Assisted News App using Natural Language Processing

In recent times, the advancements in Artificial Intelligence (AI) and natural language processing (NLP) have enabled the development of novel voice-assisted apps. This study introduces a cutting-edge Voice-Assisted News App that utilizes the capabilities of Alan M, a prominent AI platform that revol...

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Main Authors: Suhail, Ahmed Khan, Chitra, K.E., Wan Nor Al-Ashekin, Wan Husin
Format: Article
Language:English
Published: INTI International University 2024
Subjects:
Q Science (General)
QA75 Electronic computers. Computer science
QA76 Computer software
Online Access:http://eprints.intimal.edu.my/1969/1/511
http://eprints.intimal.edu.my/1969/
https://intijournal.intimal.edu.my
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id my-inti-eprints.1969
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spelling my-inti-eprints.19692024-08-05T06:31:15Z http://eprints.intimal.edu.my/1969/ Voice-Assisted News App using Natural Language Processing Suhail, Ahmed Khan Chitra, K.E. Wan Nor Al-Ashekin, Wan Husin Q Science (General) QA75 Electronic computers. Computer science QA76 Computer software In recent times, the advancements in Artificial Intelligence (AI) and natural language processing (NLP) have enabled the development of novel voice-assisted apps. This study introduces a cutting-edge Voice-Assisted News App that utilizes the capabilities of Alan M, a prominent AI platform that revolutionizes the way people access news. This research endeavor attempts to utilize Alan Al's capabilities to offer a personalized news experience and enhance clarity through voice interactions. Users of the Voice-Assisted News software can effortlessly request and select their preferred news topics, and the computer will generate the most relevant news updates. Through integration with diverse news sources and the application of sophisticated algorithms, the program generates an individualized news stream for every user, ensuring they receive the latest and most relevant information. Users can efficiently access story audio descriptions. The app's speech interface allows users to navigate across different news categories. The NLP algorithms developed by Alan AI offer precise understanding of user demands by ensuring smooth interaction and an authentic conversational experience. INTI International University 2024-08 Article PeerReviewed text en cc_by_4 http://eprints.intimal.edu.my/1969/1/511 Suhail, Ahmed Khan and Chitra, K.E. and Wan Nor Al-Ashekin, Wan Husin (2024) Voice-Assisted News App using Natural Language Processing. INTI JOURNAL, 2024 (24). pp. 1-7. ISSN e2600-7320 https://intijournal.intimal.edu.my
institution INTI International University
building INTI Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider INTI International University
content_source INTI Institutional Repository
url_provider http://eprints.intimal.edu.my
language English
topic Q Science (General)
QA75 Electronic computers. Computer science
QA76 Computer software
spellingShingle Q Science (General)
QA75 Electronic computers. Computer science
QA76 Computer software
Suhail, Ahmed Khan
Chitra, K.E.
Wan Nor Al-Ashekin, Wan Husin
Voice-Assisted News App using Natural Language Processing
description In recent times, the advancements in Artificial Intelligence (AI) and natural language processing (NLP) have enabled the development of novel voice-assisted apps. This study introduces a cutting-edge Voice-Assisted News App that utilizes the capabilities of Alan M, a prominent AI platform that revolutionizes the way people access news. This research endeavor attempts to utilize Alan Al's capabilities to offer a personalized news experience and enhance clarity through voice interactions. Users of the Voice-Assisted News software can effortlessly request and select their preferred news topics, and the computer will generate the most relevant news updates. Through integration with diverse news sources and the application of sophisticated algorithms, the program generates an individualized news stream for every user, ensuring they receive the latest and most relevant information. Users can efficiently access story audio descriptions. The app's speech interface allows users to navigate across different news categories. The NLP algorithms developed by Alan AI offer precise understanding of user demands by ensuring smooth interaction and an authentic conversational experience.
format Article
author Suhail, Ahmed Khan
Chitra, K.E.
Wan Nor Al-Ashekin, Wan Husin
author_facet Suhail, Ahmed Khan
Chitra, K.E.
Wan Nor Al-Ashekin, Wan Husin
author_sort Suhail, Ahmed Khan
title Voice-Assisted News App using Natural Language Processing
title_short Voice-Assisted News App using Natural Language Processing
title_full Voice-Assisted News App using Natural Language Processing
title_fullStr Voice-Assisted News App using Natural Language Processing
title_full_unstemmed Voice-Assisted News App using Natural Language Processing
title_sort voice-assisted news app using natural language processing
publisher INTI International University
publishDate 2024
url http://eprints.intimal.edu.my/1969/1/511
http://eprints.intimal.edu.my/1969/
https://intijournal.intimal.edu.my
_version_ 1806694096508551168
score 13.211869

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