Skip to main content
CS619 — Spring 2026

Predict, understand, and act on diabetes risk with confidence.

A premium clinical decision-support platform that combines four machine-learning models with explainable insights for patients, providers, and administrators.

JWT authentication Role-based access FastAPI + PostgreSQL/SQLite

Latest prediction

Medium risk

38% probability

Glucose

148

BMI

31.2

Age

47

Top factors

  • Glucose
    62%
  • BMI
    41%
  • Age
    22%

4

Machine-learning models

8

Health indicators

3

Role-based views

<1s

Risk predictions

Built for every care setting

One platform, tailored to each role.

Patients

Enter your health data, see your risk, and track progress over time.

Healthcare providers

Review patient risk, ML insights, and supporting evidence for clinical decisions.

Administrators

Manage datasets, train models, and oversee the system's performance.

Everything you need

From a single health record to a full model retraining pipeline.

Multiple ML models

Logistic regression, decision tree, SVM and neural network side-by-side.

Explainable insights

Per-prediction risk factors and feature importance visualisations.

Longitudinal tracking

Track glucose, BMI and risk level across your entire history.

Admin-grade control

Upload datasets, retrain on demand, and compare model metrics.

Ready to try it out?

Create an account in under a minute. The first registered user becomes the system administrator.