Child development involves not only mental but also physical development. Children’s future height, weight, and in particular, body mass index (BMI), is a major concern for parents and physicians due to the current pediatric obesity epidemic. Currently, these predicted measurements are calculated through clinical procedures. To make this process more convenient for parents, we are developing a machine-learning approach for predicting children’s future height, weight, and BMI for a certain number of years and implementing it digitally as an online assessment tool. We plan to use a longitudinal dataset of children’s physical examination data.