There are many mobile applications for diabetes currently in the market which try to help people with diabetes better manage their condition. Common features are the ability to log in user meal intake, amount of carbohydrates, insulin, physical activity and etc. and present the data back to them in a more organize manner such as in charts so that they can learn their blood glucose trend. However, few are trying to simulate their blood glucose level which might help them understand better the effect of these input to their blood glucose. In this paper, a mobile application is presented which can predict the trend of glucose from the meal and insulin intake of diabetes patient. The application used a glucose-insulin dynamics mathematical model to simulate the changes of blood glucose level over time for the user. Data of a clinical patient was used as input to the developed application to study its performance. It was found out that the accuracy of the application made the application to not be 100% reliable as predictor of blood glucose but a good educational tool for diabetes patient as it can simulate the glucose response from carbohydrate and insulin intake. A more accurate and complex mathematical model needs to be use for future development as the current linear and relatively simple model may not be accurate enough for the application.