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A Novel Mobile App for Personalized Dietary Advice Leveraging Persuasive Technology, Computer Vision, and Cloud Computing: Development and Usability Study.

Vivienne X GuanChenghuai ZhouHengyi WanRengui ZhouDongfa ZhangSihan ZhangWangli YangBhanu Prakash VoutharojaLei WangKhin Than WinPeng Wang
Published in: JMIR formative research (2023)
A novel evidence-based prototype mobile app was successfully developed by leveraging a cross-disciplinary collaboration. A detailed description of the development process and design of the prototype enhances its transparency and provides detailed insights into its creation. This study provides a valuable example of the development of a novel, evidence-based app for personalized dietary advice on food choices using recent advancements in computer vision. A revised version of this prototype is currently under development.
Keyphrases
  • healthcare
  • deep learning
  • machine learning
  • climate change