"Diabetes Progression Prediction and
Interpretation" is an intelligent mobile application designed to help
patients and healthcare professionals monitor and understand the potential
progression of diabetes using advanced machine learning techniques.

The user simply enters basic health information such as age,
blood pressure, BMI, etc. This data is securely sent to a central server, where
a trained machine learning model (Random Forest) processes it. The prediction
result, along with SHAP (SHapley Additive exPlanations) values, is then
returned to the app.

SHAP values help explain how each input feature has
contributed to the prediction, making the model’s decision transparent and
interpretable for both users and physicians.

Key Features:

Accurate prediction of diabetes progression using machine
learning

Interpretation of results through SHAP values to understand
feature impact

Secure communication with the server for real-time analysis

User-friendly design with simple input steps

Suitable for patients, doctors, and medical researchers

This app aims to increase awareness, support better
treatment decisions, and improve diabetes management through the power of AI
and interpretable models.