Mobile receipt scanner for easy expense sharing

Kwa, Khai Mun (2025) Mobile receipt scanner for easy expense sharing. Final Year Project, UTAR.

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Abstract

The development of a bill splitting application is due to the increased complexity of shared cost dsitribution among social groups which require manual calculation to be done. This project presents a mobile application to simplify the process of bill splitting by implementing Optical Character Recognition (OCR) and Artificial Intelligence (AI). The development of the application will be guided by Rapid Application Development (RAD) while employing Tesseract as the OCR framework with DeepSeek as the AI tool to help with the success of this project. Additionally, the application is built with the React Native framework pairing it with MySQL database to manage user, events, and item tables. Crucial features regarding the application is multiple splitting methods which are the “equal” method and “pay for what you eat”, real-time collaboration among participants to help out with the cost management, and also AI-based calculation to help calculate and summarize the event’s cost. This application offers user a practical and user friendly solution to tackle one of the common real-world challenges. The application is easily scalable with future enhancements through different technologies such as advanced machine learning and integration with popular payment platforms. The project concludes with combining OCR and AI technologies to provide an user friendly approach to allow user collaborate with each other to manage their expenses in an efficient manner. Keywords: mobile application; optical character recognition; artificial intelligence; cost management; bill splitting Subject Area: QA76 Computer Science

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