Design and development of a smart supermarket system – Microsoft Imagine Cup 2022 (C)
Food waste is a pervasive problem in the twenty-first century, made worse by increased household stockpiling during the Covid-19 pandemic. If left unchecked, food waste will become a growing problem. Despite the enormous benefits of technology, consumer-level food waste has not seen creative and...
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| Format: | Final Year Project |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/157396 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | Food waste is a pervasive problem in the twenty-first century, made worse
by increased household stockpiling during the Covid-19 pandemic. If left
unchecked, food waste will become a growing problem. Despite the enormous
benefits of technology, consumer-level food waste has not seen creative and
impactful solutions.
This project investigates the use of current machine learning technologies,
such as an OCR model, in conjunction with a smartphone application to develop a
concept that assists consumers with household food management.
Current solutions to consumer-level food waste include ineffective
government-led awareness campaigns and application-level solutions that are
insufficient as some measures targeting lifestyle.
As such, the purpose of this project is to develop an effective and practical
smartphone application that will integrate seamlessly into a user's grocery
shopping lifestyle and contribute to the reduction of food waste.
This project was submitted to the Microsoft Imagine Cup 2022 competition,
and this report will focus on my part of the project, which is the backend
component, including the RESTful APIs and database implementation. |
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