Olivia Lee¹ Yu Sun², ¹USA, ²California State Polytechnic University, USA

In today’s society, Type 2 diabetes is a prevalent disease that affects hundreds of millions of people worldwide [11]. However, many people are unaware that they are diabetic or prediabetic, so they do not have access to the information to make better-informed nutritional choices that will suit their personal needs. In this paper, we designed an application that uses image classification to provide an estimate of the nutritional content of the selected food [12]. We applied our application to identify and list the nutritional content of multiple different foods, then conducted a qualitative evaluation of the approach. The results show that this application will facilitate healthy eating and allow users to utilize the image classification predictions to make diabetes-friendly nutritional choices.

Machine Learning, Nutrition, Flutter, Image Classification.