Voice-Assisted News App using Natural Language Processing

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

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Abstract

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.

Item Type: Article
Uncontrolled Keywords: Voice assisted news app, Artificial intelligence, Natural language processing
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Depositing User: Unnamed user with email masilah.mansor@newinti.edu.my
Date Deposited: 05 Aug 2024 06:31
Last Modified: 05 Aug 2024 06:31
URI: http://eprints.intimal.edu.my/id/eprint/1969

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