An AI powered nutrition information mobile application

Food labels with nutrition information contain vital sources of information which should be referred to, but it is not being utilized by consumers when buying them. The importance of having nutrition information is to display key nutrients that can impact consumer’s health and help them reconsider t...

Full description

Saved in:
Bibliographic Details
Main Author: Kwa, Daniel Shen Jun
Other Authors: Ling Keck Voon
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/166871
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
Description
Summary:Food labels with nutrition information contain vital sources of information which should be referred to, but it is not being utilized by consumers when buying them. The importance of having nutrition information is to display key nutrients that can impact consumer’s health and help them reconsider their food choices. Given a key role Artificial Intelligence (AI) will play in impacting people’s lives and the increasing number of smartphone users indicated by statistics, the aim of the project is to develop an Android application that can generate nutritional information by taking pictures or uploading images. The application can also save and share the generated image. Android Studio with Flutter Software Develop Kit (SDK) will be used to develop the mobile application and Python will be used to train AI models using both TensorFlow Lite and Google Colab.