An AI-based receipt management mobile app

With the flourishment of the smartphone industry in recent years, a new online market for mobile applications has inevitably formed. Mobile applications play a vital role in people's daily activities, and more people use them for financial and productive purposes. Such applications usually gath...

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Bibliographic Details
Main Author: Wang, Bo
Other Authors: Ling Keck Voon
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/167478
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1674782023-07-07T15:44:50Z An AI-based receipt management mobile app Wang, Bo Ling Keck Voon School of Electrical and Electronic Engineering EKVLING@ntu.edu.sg Engineering::Electrical and electronic engineering::Computer hardware, software and systems With the flourishment of the smartphone industry in recent years, a new online market for mobile applications has inevitably formed. Mobile applications play a vital role in people's daily activities, and more people use them for financial and productive purposes. Such applications usually gather information from users manually, making things time-consuming and bringing a user-unfriendly experience. In this project, an Artificial Intelligence (AI) based receipt management system will be designed and developed, providing users with a more efficient and easier way of interaction. The system integrates AI algorithms to capture and categorise the receipt automatically. Besides, the mobile application also features receipt quality enhancement and expense analysis reports generation. Various software technologies are adopted to develop the mobile application, such as Flutter, Bootstrap, Ajax, etc. Bachelor of Engineering (Electrical and Electronic Engineering) 2023-05-29T06:05:04Z 2023-05-29T06:05:04Z 2023 Final Year Project (FYP) Wang, B. (2023). An AI-based receipt management mobile app. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/167478 https://hdl.handle.net/10356/167478 en A1083-221 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering::Computer hardware, software and systems
spellingShingle Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Wang, Bo
An AI-based receipt management mobile app
description With the flourishment of the smartphone industry in recent years, a new online market for mobile applications has inevitably formed. Mobile applications play a vital role in people's daily activities, and more people use them for financial and productive purposes. Such applications usually gather information from users manually, making things time-consuming and bringing a user-unfriendly experience. In this project, an Artificial Intelligence (AI) based receipt management system will be designed and developed, providing users with a more efficient and easier way of interaction. The system integrates AI algorithms to capture and categorise the receipt automatically. Besides, the mobile application also features receipt quality enhancement and expense analysis reports generation. Various software technologies are adopted to develop the mobile application, such as Flutter, Bootstrap, Ajax, etc.
author2 Ling Keck Voon
author_facet Ling Keck Voon
Wang, Bo
format Final Year Project
author Wang, Bo
author_sort Wang, Bo
title An AI-based receipt management mobile app
title_short An AI-based receipt management mobile app
title_full An AI-based receipt management mobile app
title_fullStr An AI-based receipt management mobile app
title_full_unstemmed An AI-based receipt management mobile app
title_sort ai-based receipt management mobile app
publisher Nanyang Technological University
publishDate 2023
url https://hdl.handle.net/10356/167478
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