Smart Budget and Expense Tracking App

 




 

Tai, Chiao Wei (2026) Smart Budget and Expense Tracking App. Final Year Project (Bachelor), Tunku Abdul Rahman University of Management and Technology.

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Abstract

Personal finance management remains challenging for young adults who struggle with traditional expense tracking methods that are time-consuming, error-prone, and lack intelligent insights. This project develops a Smart Budget and Expense Tracking App that integrates artificial intelligence with modern web technology to revolutionize personal financial management. The web application encompasses expense tracking, intelligent budget management, income monitoring, multi-currency support, and AI-powered analytics, targeting Tunku Abdul Rahman University students and expanding to young professionals. Development employed Agile methodology with Vue.js framework for responsive web development, Firebase for backend services, and external APIs for currency exchange rates. Testing included 60 test cases across six modules and user acceptance testing with 100 survey participants. The system delivers real-time expense tracking with AI insights, automated budget monitoring with alerts, predictive analytics, multi-currency support with exchange rate caching, and secure cloud synchronization. The project demonstrates technical excellence while providing practical value for intelligent financial management. The web application establishes a foundation for future enhancements and proves the feasibility of AI-enhanced personal finance applications, achieving objectives of simplifying expense tracking and promoting financial literacy through an intuitive, secure web platform.

Item Type: Final Year Project
Subjects: Science > Computer Science > Artificial intelligence
Science > Computer Science > Websites
Faculties: Faculty of Computing and Information Technology > Bachelor of Information Technology (Honours) in Internet Technology
Depositing User: Library Staff
Date Deposited: 11 Aug 2026 08:40
Last Modified: 11 Aug 2026 08:40
URI: https://eprints.tarc.edu.my/id/eprint/38233