Monitoring child healthcare is a critical process that needs continuous observation with proper medical assistance on time. The existing child healthcare monitoring system is more manual, with no intelligent analysis, resulting in a later diagnosis and treatment for the child. This paper proposes the design of an Automated Child Health Monitoring System that combines mobile support with machine learning solutions. The system provides parents with an interactive mobile application where they can feed inputs regarding child healthcare, such as age, height, weight, and symptoms. The inputs are processed with a machine learning algorithm that calculates the child healthcare risk level. The reports are remotely accessed by doctors, who assist with necessary medical advice, with administrators handling the system’s data security.

Index terms: Child Health Monitoring, Machine Learning, Mobile Application, Healthcare Automation, Prediction System