AI enabled mobile expense tracking for sole-proprietor businesses

Accounting is a vital function for any business, as it helps to track the financial performance and position of the entity. However, accounting today has become ever complicated than before, due to the increasing complexity and diversity of business transactions and regulations. While large busin...

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Bibliographic Details
Main Author: Ong, Yew Han
Other Authors: Kong Wai-Kin, Adams
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/171988
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author Ong, Yew Han
author2 Kong Wai-Kin, Adams
author_facet Kong Wai-Kin, Adams
Ong, Yew Han
author_sort Ong, Yew Han
collection NTU
description Accounting is a vital function for any business, as it helps to track the financial performance and position of the entity. However, accounting today has become ever complicated than before, due to the increasing complexity and diversity of business transactions and regulations. While large businesses use accounting software for their accounting, such systems are too complicated and expensive for small sole proprietorship businesses such as hawkers and freelancers, who often have limited resources and time to manage their finances. To tackle this problem, this project would focus on developing a modern mobile application that would assist small businesses in tracking their finances using Artificial Intelligence (AI) technology. The application would leverage the power of AI to automate and enhance various aspects of the expense tracking process such as expense tracking and data analysis. By doing so, the application would reduce human errors and increase accuracy and efficiency in accounting tasks.
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spelling ntu-10356/1719882023-12-08T15:37:04Z AI enabled mobile expense tracking for sole-proprietor businesses Ong, Yew Han Kong Wai-Kin, Adams School of Computer Science and Engineering AdamsKong@ntu.edu.sg Engineering::Computer science and engineering Accounting is a vital function for any business, as it helps to track the financial performance and position of the entity. However, accounting today has become ever complicated than before, due to the increasing complexity and diversity of business transactions and regulations. While large businesses use accounting software for their accounting, such systems are too complicated and expensive for small sole proprietorship businesses such as hawkers and freelancers, who often have limited resources and time to manage their finances. To tackle this problem, this project would focus on developing a modern mobile application that would assist small businesses in tracking their finances using Artificial Intelligence (AI) technology. The application would leverage the power of AI to automate and enhance various aspects of the expense tracking process such as expense tracking and data analysis. By doing so, the application would reduce human errors and increase accuracy and efficiency in accounting tasks. Bachelor of Engineering (Computer Science) 2023-11-20T04:04:13Z 2023-11-20T04:04:13Z 2023 Final Year Project (FYP) Ong, Y. H. (2023). AI enabled mobile expense tracking for sole-proprietor businesses. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/171988 https://hdl.handle.net/10356/171988 en SCSE22-0875 application/pdf Nanyang Technological University
spellingShingle Engineering::Computer science and engineering
Ong, Yew Han
AI enabled mobile expense tracking for sole-proprietor businesses
title AI enabled mobile expense tracking for sole-proprietor businesses
title_full AI enabled mobile expense tracking for sole-proprietor businesses
title_fullStr AI enabled mobile expense tracking for sole-proprietor businesses
title_full_unstemmed AI enabled mobile expense tracking for sole-proprietor businesses
title_short AI enabled mobile expense tracking for sole-proprietor businesses
title_sort ai enabled mobile expense tracking for sole proprietor businesses
topic Engineering::Computer science and engineering
url https://hdl.handle.net/10356/171988
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