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Development of personalized healthy food incentives to improve diet and cardiovascular risk

Project Information

biology
Project Status: In Progress
Project Region: CAREERS
Submitted By: Gaurav Khanna
Project Email: maya_vadiveloo@uri.edu
Project Institution: University of Rhode Island
Anchor Institution: CR-University of Rhode Island

Students: Anthony Francisco

Project Description

I am currently working on an NHLBI K01 Career Development Award-funded project examining the use of a personalized, automated digital platform + web/mobile app to improve the healthfulness of grocery purchases in an online grocery setting (i.e., SmartCart 2.0). In the first phase of the project, I am looking for help building out the web/mobile app. I will be conducting focus groups in Fall 2023 with eligible participants (i.e., adults at higher cardiometabolic risk, defined as a BMI >30kg/m2 and/or high blood pressure), and I would like to have a good ‘mock up’ of the web/mobile app to understand people’s platform and food group (i.e., types of recipes, nutrition tips, etc) preferences they have so we can refine the platform based on user preferences before testing it in a randomized controlled trial.

Because the webapp must integrate with a classification algorithm and recommender algorithm that we have developed and are using to process grocery receipt data and make personalized healthy dietary recommendations (with coupons), familiarity with this technology would also be helpful. I have documentation from previous teams of CS students who have worked on earlier iterations of this project for reference.

Project Information

biology
Project Status: In Progress
Project Region: CAREERS
Submitted By: Gaurav Khanna
Project Email: maya_vadiveloo@uri.edu
Project Institution: University of Rhode Island
Anchor Institution: CR-University of Rhode Island

Students: Anthony Francisco

Project Description

I am currently working on an NHLBI K01 Career Development Award-funded project examining the use of a personalized, automated digital platform + web/mobile app to improve the healthfulness of grocery purchases in an online grocery setting (i.e., SmartCart 2.0). In the first phase of the project, I am looking for help building out the web/mobile app. I will be conducting focus groups in Fall 2023 with eligible participants (i.e., adults at higher cardiometabolic risk, defined as a BMI >30kg/m2 and/or high blood pressure), and I would like to have a good ‘mock up’ of the web/mobile app to understand people’s platform and food group (i.e., types of recipes, nutrition tips, etc) preferences they have so we can refine the platform based on user preferences before testing it in a randomized controlled trial.

Because the webapp must integrate with a classification algorithm and recommender algorithm that we have developed and are using to process grocery receipt data and make personalized healthy dietary recommendations (with coupons), familiarity with this technology would also be helpful. I have documentation from previous teams of CS students who have worked on earlier iterations of this project for reference.