The Diabetes Prediction Model is designed to ascertain the likelihood of an individual having diabetes by employing Support Vector Machine. This model utilizes various health parameters, including glucose levels, body mass index (BMI), blood pressure, and other diagnostic measurements, to make accurate predictions. Through the application of Support Vector Machine, the model effectively handles the complex relationships among different health factors to identify crucial predictors influencing diabetes.