Improving Food Recognition and Data Analytics in GlucoGuide

Diabetes is a chronic disease with many complications including heart attack, stroke, amputations and blindness. Self-management of blood glucose and improving lifestyle are very important to prevent complications, but it is a very difficult task. We have been researching and developing GlucoGuide – an app that data-mines inputted diet and exercise data to give individual feedback on lifestyle (not on medications) to help manage diabetes. In this Mitacs R&D Project, we will develop further analytic algorithms (including deep learning) to recognize food, multiple food combination, food nutrition label, barcode
scanning and exercise equipment using the smartphone’s camera. This will not only train and improve interns’ R&D abilities, but also significantly improve the usability of GlucoGuide, which will benefit patients with diabetes, and ultimately, help to reduce the burden and cost on the healthcare systems in Canada and world.

Faculty Supervisor:

Kaizhong Zhang

Student:

Partner:

GlucoGuide Corp

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Western University

Program: