Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/184312
Title: Online life-long learning app with personalized recommendation (II)
Authors: Matthew Ashok Samynathan
Keywords: Computer and Information Science
Issue Date: 2025
Publisher: Nanyang Technological University
Source: Matthew Ashok Samynathan (2025). Online life-long learning app with personalized recommendation (II). Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/184312
Abstract: The MobiLearn project addresses the educational gap in third-world countries by developing a mobile application designed to provide localized and personalized learning experiences. The app leverages AI-driven recommendation systems to suggest courses tailored to users' needs and preferences, ensuring maximum engagement and educational impact. With a user-friendly interface and community-driven features, MobiLearn empowers users to acquire knowledge and skills for improved life opportunities. This report outlines the project's objectives, design methodologies, development processes, and evaluation, concluding with insights on its scalability and future enhancements.
URI: https://hdl.handle.net/10356/184312
Schools: College of Computing and Data Science 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:CCDS Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
FYP Report_Matthew Ashok (1).pdf
  Restricted Access
5.35 MBAdobe PDFView/Open

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.