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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English English |
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INTI International University
2024
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| Subjects: | |
| Online Access: | http://eprints.intimal.edu.my/1969/ http://eprints.intimal.edu.my/1969/1/512 http://eprints.intimal.edu.my/1969/2/ij2024_24r.pdf |
| _version_ | 1848766974153195520 |
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| 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 |
| building | INTI Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T11:58:15Z |
| format | Article |
| id | intimal-1969 |
| institution | INTI International University |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T11:59:40Z |
| publishDate | 2024 |
| publisher | INTI International University |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | intimal-19692025-07-30T07:44:23Z 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/1969/1/512 text en cc_by_4 http://eprints.intimal.edu.my/1969/2/ij2024_24r.pdf 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 |
| 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 |
| title | 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_short | Voice-Assisted News App using Natural Language Processing |
| title_sort | voice-assisted news app using natural language processing |
| topic | Q Science (General) QA75 Electronic computers. Computer science QA76 Computer software |
| url | http://eprints.intimal.edu.my/1969/ http://eprints.intimal.edu.my/1969/ http://eprints.intimal.edu.my/1969/1/512 http://eprints.intimal.edu.my/1969/2/ij2024_24r.pdf |