EDUCALENDAR: ENHANCING DAILY PLANNING FOR STUDENTS WITH NLP-DRIVEN EVENT AUTOMATION
| dc.contributor.author | REBECCA LAI YEE ENN | |
| dc.date.accessioned | 2026-04-24T07:00:54Z | |
| dc.date.issued | 2025 | |
| dc.description | Many students rely on digital calendars for managing academic and personal schedules, yet most still require repetitive manual entry of event detail such as event title, date, time, location, frequency, which is repetitive and prone to human errors. To address this, EduCalendar is developed as a smart, web-based calendar that leverages Natural Language Processing (NLP), specifically Named Entity Recognition (NER), to automatically extract key event details such as event name, date, time, location, and frequency from natural language input. Key features include natural language event creation, recurring event handling, visual task displays, and multi-tab navigation. This project focuses on gathering user requirements, training the NER model, and evaluating usability through functional and User Acceptance Testing (UAT). Built with SvelteKit, Firebase, spaCy, and deployed via Vercel and Hugging Face Spaces, EduCalendar achieved 80% extraction accuracy and received high user satisfaction, validating its potential as an intelligent productivity tool for students. | |
| dc.identifier.uri | https://scholarhub.unimas.my/handle/123456789/471 | |
| dc.language.iso | English | |
| dc.publisher | UNIVERSITI MALAYSIA SARAWAK | |
| dc.relation.ispartofseries | Faculty of Computer Science and Information Technology | |
| dc.title | EDUCALENDAR: ENHANCING DAILY PLANNING FOR STUDENTS WITH NLP-DRIVEN EVENT AUTOMATION | |
| dc.type | Final Year Project |