Date of Award

6-2023

Document Type

Thesis

Publisher

Santa Clara : Santa Clara University, 2023.

Department

Computer Science and Engineering

First Advisor

Sharon Ihan Hsiao

Abstract

In today’s world, users face multiple obstacles obtaining relevant nutrition information for the foods they consume. While nutrition information is provided on some foods like a standard candy bar, this label is typically hard to read and inconveniently located. For other foods such as an apple, this nutrition label is not provided at all and the burden is placed on the user to go out and find this information themselves. We hope to address this inaccessibility of nutrition information to help users ultimately make more informed decisions about their eating habits.

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