Computational Tools to Improve Healthy and Pleasurable Eating in Young Children

Computational Tools to Improve Healthy and Pleasurable Eating in Young Children

2020

Our project is about building a food recommendation system for Avoidant/Reactive Intake Disorder (ARFID) patients and understanding the relationship between ARFID and clinical variables. Our stakeholders include young picky eaters and their parents, as well as clinicians who work with ARFID patients. We created an interactive visualization for ARFID patients to encourage them to explore different foods and also built visualization to represent the relationship between ARFID and clinical variables.

Project Leads: Guillermo Sapiro, Nancy Zucker
Project Manager: Julia Nichols

View the team’s final project presentation slides here

Watch the team’s final presentation below:

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Mathematics

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MIDS

Computer Science

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Computer Science