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 | Size | Format | |
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FYP Report_Matthew Ashok (1).pdf Restricted Access | 5.35 MB | Adobe PDF | View/Open |
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