GlucoSense - Diabetes Monitoring System for Pregnant Women

Abstract

Diabetes in pregnant women is a higher case of concern. Poorly treated diabetes during pregnancy causes risk for both maternal and child health. Proper diabetic control during pregnancy stage could reduce this risk to a higher extent. This paper proposes a system in which diabetes level of pregnant women is predicted using certain features and depending on results several diet plans and exercise suggestions are given to control diabetes. Object detection is also incorporated in the system so as to detect the food and find the glucose content in the food item before consuming it. The dataset is PIMA Indians dataset obtained from Kaggle repository.