Smart financial tracking mobile application

Chang, Kok Shen (2025) Smart financial tracking mobile application. Final Year Project, UTAR.

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Abstract

In this project, a Smart Financial Tracking Mobile Application is proposed to cater to all individuals who care about being out of debt, spending, budgeting, and financial tracking in Malaysia. Financial tracking, also known as expense tracking, is a common approach whereby an individual manages their expenses by recording their daily, monthly, and yearly expenditure through digital software such as Microsoft Excel, cross-platform budget tracking applications like the popular You Need A Budget (YNAB) or through traditional financial entries on notebooks. Most financial tracking systems have limitations, such as a lack of Asian Bank Integration, insufficient financial data insight, and mundane financial entry. The proposed system solves the common mobility issue for users who want to track their finances on the go and aims to solve the problems mentioned earlier. Moreover, it also leverages state-of-the-art AI technology, such as a seamless Integration with Google’s newest Machine Learning Kit models for near real-time receipt extraction and various connections with third-party APIs such as LangChain API, to improve data extraction accuracy. The core features of the mobile application include receipt scanning with OCR, scraping email financial data, chatting with financial data leveraging Large Language Models (LLM) like OpenAI’s ChatGPT, Malaysian bank app integration (Maybank, CIMB, Public Bank) and voice data recognition entry. Furthermore, the main Software Development Life Cycle (SDLC) model used in this project is Rapid Application Development (RAD). This approach enables quick creation of multiple prototype versions that can be refined based on user feedback. Lastly, the main tools used for development are IDE, such as Android Studio and Visual Studio Code, Firebase as the backend as a service, a mobile phone, and a laptop. Area of Study: Mobile Application Development, Artificial Intelligence Keywords: Financial Technology integration, Optical Character Recognition, Voice Recognition, Expense Tracking, Generative AI, Workflow Automation

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