Gestational Diabetes Prediction Using ML Integrated with Web UI

Promoting maternal health is significant as GDM is a severe health concern for both infants and mothers. As opposed to the conventional systems based primarily on clinical diagnosis, this study attempts to develop a system that utilizes machine learning algorithms and Django web application to predict and manage GDM. The system analyzes key indicators such as clinical data, family members' medical history, and lifestyle trends to make predictions through an easy-to-use web-based interface. With an emphasis on the early detection and timely interventions, this study aims to improve wellbeing and health among mothers and her children.