Chang, Yun Qi (2025) Smart management system for tuition centre operations. Final Year Project, UTAR.
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Abstract
This project, titled “Smart Management System for Tuition Centre Operations”, aims to develop a comprehensive solution to meet and fulfil the unique needs of small-sized tuition centres. The system addresses key challenges such as ineffective manual administrative and daily operational tasks, a lack of affordable management software, and poor communication between parents and tutors. This project prioritises rapid prototyping, iterative feedback from users, and continual refinement by utilising the Rapid Application Development (RAD) methodology. This ensures that the final product effectively satisfies user needs. This system features a robust set of key modules, which include user authentication, student management, course management, class management with biometric facial recognition for attendance tracking, fee management, communication, and reporting and analytics. The system is created with Visual Studio Code (VS Code), Cloud Firestore Database, Firebase Functions, Firebase Authentication, Firebase Storage, Flutter, Dart, Node.js, JavaScript, and Python. The goals of this project are to increase communication between parents and tutors, streamline administrative and daily operational tasks, and boost the overall efficiency of tuition centres. This project not only offers a practical tool for tuition centre management but also contributes valuable insights into the fields of educational technology and software development. The deployment of this system is expected to significantly reduce manual workload, reduce human errors, and foster better engagement between administrators, tutors, students, and parents.
| Item Type: | Final Year Project / Dissertation / Thesis (Final Year Project) |
|---|---|
| Subjects: | T Technology > T Technology (General) |
| Divisions: | Faculty of Information and Communication Technology > Bachelor of Computer Science (Honours) |
| Depositing User: | ML Main Library |
| Date Deposited: | 28 Dec 2025 23:10 |
| Last Modified: | 28 Dec 2025 23:10 |
| URI: | http://eprints.utar.edu.my/id/eprint/7048 |
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