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https://hdl.handle.net/10356/167478
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Wang, Bo | en_US |
dc.date.accessioned | 2023-05-29T06:05:04Z | - |
dc.date.available | 2023-05-29T06:05:04Z | - |
dc.date.issued | 2023 | - |
dc.identifier.citation | Wang, B. (2023). An AI-based receipt management mobile app. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/167478 | en_US |
dc.identifier.uri | https://hdl.handle.net/10356/167478 | - |
dc.description.abstract | 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. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Nanyang Technological University | en_US |
dc.relation | A1083-221 | en_US |
dc.subject | Engineering::Electrical and electronic engineering::Computer hardware, software and systems | en_US |
dc.title | An AI-based receipt management mobile app | en_US |
dc.type | Final Year Project (FYP) | en_US |
dc.contributor.supervisor | Ling Keck Voon | en_US |
dc.contributor.school | School of Electrical and Electronic Engineering | en_US |
dc.description.degree | Bachelor of Engineering (Electrical and Electronic Engineering) | en_US |
dc.contributor.supervisoremail | EKVLING@ntu.edu.sg | en_US |
item.grantfulltext | restricted | - |
item.fulltext | With Fulltext | - |
Appears in Collections: | EEE Student Reports (FYP/IA/PA/PI) |
Files in This Item:
File | Description | Size | Format | |
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An AI-based Receipt Management Mobile App.pdf Restricted Access | 4.08 MB | Adobe PDF | View/Open |
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