Rapid learning tools for student

Due to information overload, language difficulties, and fragmented technologies, students frequently struggle to navigate large volumes of academic content. The creation of a web-based Rapid Learning Tool (RLT) that combines document analysis, AI-powered summarization, translation, definition lookup...

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Main Author: Yap, Li Hui
Format: Final Year Project / Dissertation / Thesis
Published: 2025
Subjects:
Online Access:http://eprints.utar.edu.my/7027/1/fyp_IA_2025_YLH.pdf
http://eprints.utar.edu.my/7027/
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author Yap, Li Hui
author_facet Yap, Li Hui
author_sort Yap, Li Hui
building UTAR Library
collection Institutional Repository
content_provider Universiti Tunku Abdul Rahman
content_source UTAR Institutional Repository
continent Asia
country Malaysia
description Due to information overload, language difficulties, and fragmented technologies, students frequently struggle to navigate large volumes of academic content. The creation of a web-based Rapid Learning Tool (RLT) that combines document analysis, AI-powered summarization, translation, definition lookup and research support into a single platform is the project’s suggested solution to these problems. A variety of document formats (PDF, DOC, DOCX, PPT, PPTX, and TXT) can be uploaded to the system, which also automatically extracts and summarizes important information, translates or explains words in real time, and collects relevant research papers from reliable databases, for example Semantic Scholar. Additionally, the word cloud visualization and keyword extraction features enable students to rapidly understand the primary ideas of texts. Rapid Learning Tool (RLT) combines AI services like Cohere AI, Ollama, DeepL, and Google Translate and is based in Node.js and Express.js for the backend. To guarantee a customized and safe educational environment, it also makes use of secure JWT authentication, session monitoring, and user conversation history abilities. Rapid Learning Tool successfully lowers students’ cognitive load while improving their understanding and learning effectiveness by using these features. It overcomes the gap between disjointed learning processes and effective, intelligent learning support by giving students a reliable, adaptable and useful instructional tool.
format Final Year Project / Dissertation / Thesis
id my-utar-eprints.7027
institution Universiti Tunku Abdul Rahman
publishDate 2025
record_format eprints
spelling my-utar-eprints.70272025-12-28T15:02:56Z Rapid learning tools for student Yap, Li Hui T Technology (General) Due to information overload, language difficulties, and fragmented technologies, students frequently struggle to navigate large volumes of academic content. The creation of a web-based Rapid Learning Tool (RLT) that combines document analysis, AI-powered summarization, translation, definition lookup and research support into a single platform is the project’s suggested solution to these problems. A variety of document formats (PDF, DOC, DOCX, PPT, PPTX, and TXT) can be uploaded to the system, which also automatically extracts and summarizes important information, translates or explains words in real time, and collects relevant research papers from reliable databases, for example Semantic Scholar. Additionally, the word cloud visualization and keyword extraction features enable students to rapidly understand the primary ideas of texts. Rapid Learning Tool (RLT) combines AI services like Cohere AI, Ollama, DeepL, and Google Translate and is based in Node.js and Express.js for the backend. To guarantee a customized and safe educational environment, it also makes use of secure JWT authentication, session monitoring, and user conversation history abilities. Rapid Learning Tool successfully lowers students’ cognitive load while improving their understanding and learning effectiveness by using these features. It overcomes the gap between disjointed learning processes and effective, intelligent learning support by giving students a reliable, adaptable and useful instructional tool. 2025-06 Final Year Project / Dissertation / Thesis NonPeerReviewed application/pdf http://eprints.utar.edu.my/7027/1/fyp_IA_2025_YLH.pdf Yap, Li Hui (2025) Rapid learning tools for student. Final Year Project, UTAR. http://eprints.utar.edu.my/7027/
spellingShingle T Technology (General)
Yap, Li Hui
Rapid learning tools for student
title Rapid learning tools for student
title_full Rapid learning tools for student
title_fullStr Rapid learning tools for student
title_full_unstemmed Rapid learning tools for student
title_short Rapid learning tools for student
title_sort rapid learning tools for student
topic T Technology (General)
url http://eprints.utar.edu.my/7027/1/fyp_IA_2025_YLH.pdf
http://eprints.utar.edu.my/7027/
url_provider http://eprints.utar.edu.my