PENNYLOG: EXPENSE TRACKER PREDICTIVE BUDGET OPTIMISATION

dc.contributor.authorJOAANE CHONG AIE YING
dc.date.accessioned2026-04-20T06:53:08Z
dc.date.issued2025
dc.descriptionPennyLog is a mobile application that was developed with the purpose of simplifying the process of financial management and providing advanced budgeting solutions. Through the utilisation of cutting-edge technology, PennyLog offers users the ability to scan and enhance receipts, automatically classify transactional details, and provide expense forecasting. PennyLog bridges the gap by providing an application that is both simple and easy to use. This allows it to address the issues that are faced by existing systems, such as the availability of advanced categorisation capabilities and predictive analytics, as well as the absence of optical character recognition for text extraction. Utilising visualisations such as line graph, it provides users with assistance in monitoring their spending patterns and pie charts and expense breakdowns to optimising their expenses with budgeting option. PennyLog was developed with Flutter, for Android devices, and Firebase, which provides backend services for storing data. To ensure that the system meets user requirements and offers a seamless experience, the application will go through multiple testing, which will test all the requirements, functionality and user acceptance test. PennyLog will transform the way in which individuals handle their financial matters by integrating advanced deep learning model with user-centric design. This results in improved financial planning and financial management.
dc.identifier.urihttps://scholarhub.unimas.my/handle/123456789/378
dc.language.isoEnglish
dc.publisherUniversiti Malaysia Sarawak (UNIMAS)
dc.relation.ispartofseriesFaculty of Computer Science and Information Technology
dc.subjectExpense Tracking, Optical Character Recognition, Natural Language Processing, Recurrent Neural Networks, Mobile Application.
dc.titlePENNYLOG: EXPENSE TRACKER PREDICTIVE BUDGET OPTIMISATION
dc.typeFinal Year Project

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