From meal planning to grocery shopping cart; a smart software platform combining personalized recommendations, grocery shopping, and healthy-eating-behavior building

Families need help with their weekly food needs due to busy schedules, stressful weekly meal planning and rising food costs. This research project aims at combining recipes, nutrition, family profiles and preferences, and grocery shopping to recommend healthy and varied meal plans to families. These meal plans will be the base to build grocery shopping lists that are optimized with grocery products that cater to family preferences and needs, saving them both time and money. The goal is for this project to lead to a recommendation engine that provides menu options catered to family needs whether its healthier, more varied or budget conscious options and as well as reduce food waste with smarter planning and shopping.

Faculty Supervisor:

Yong Zeng;Chun Wang;Jun Yan;Yong Zeng;Jun Yan

Student:

Partner:

7dish

Discipline:

Computer science

Sector:

Information and cultural industries

University:

Concordia University

Program: