Biofeedback sensors for health monitoring are rapidly growing in terms of ubiquity and cost. They enable remote, accurate, and low-cost health monitoring and can provide personalized health monitoring and care with timely detection of health issues, especially for children. In this project, we propose a novel system for real-time personalized health advisory system for children in order to promote healthy habits and activities (including food, clothing, and activities). The system utilizes electronic child record (ECR) that is continuously updated according to the captured measurements from biofeedback devices, and ontologies for vitamins/allergies, to provide personalized semantic-based recommendations. The preliminary evaluation demonstrated the potential of the proposed system to promote well-being of children and facilitate the communication among parties involved in the children care (parents, school staff, and health care staff).