There are in-silico models to aid both research and treatment of patients with diabetes. In general, these models consider insulin and carbohydrate content of the ingested food only. By considering complete meal composition, i.e., carbohydrates, protein, fat and fiber, we can substantially improve the metabolic simulation to obtain considerably more precise metabolic responses to meal, drugs and physical activity. To do so, we integrated the SmartCGMS framework for glucose level monitoring and control with the state-of-the-art Sirael virtual metabolic machine, which is capable of simulating metabolic responses to a realistic meal composition. Specifically, we adapted the capability of building SmartCGMS for low-power devices to produce a WebAssembly instead of targeting a low-power device. At diabetes.zcu.cz, there is a live demonstration of our work, which can execute on-line, in a web browser. It demonstrates, how a web browser brings the simulation to patients for education, to improve their outcomes by increasing their motivation via learning. In the wider context, the presented work extends research options for both biomedical engineers, physicians and health care professionals, which educate patients.