This document describes a study that developed an Android application to predict and suggest measures for diabetes using data mining techniques. The study used the Pima Indian diabetes dataset to build a decision tree classification model using the C4.5 algorithm to predict whether a person is diabetic or not based on their attributes. The most significant attributes identified for prediction were plasma glucose level, body mass index, diabetes pedigree function, and insulin level. The developed Android app allows a user to enter their details, which are then run through the decision tree model to predict their diabetes status and provide suggested measures if predicted to be diabetic. The goal of the study was to create a mobile application to help individuals assess their risk of diabetes and maintain healthy habits.