Is this simulation a medical diagnosis?

No. It only demonstrates a machine learning classification workflow and must not be used as medical advice or diagnosis.

Does this application already use a production model?

Not yet. This version uses a deterministic local dummy engine that will later be replaced by the production model API.

Interactive prototype · local dummy

Try an obesity risk prediction workflow.

Change body and lifestyle data, run the simulation, then inspect the score, class, and contributing factors. The model API can replace the dummy engine later without changing the interface.

02 · Output

Classification result

Values update whenever the simulation runs.

0demo score

Predicted class

Not run

Enter data and run the simulation.

–Calculated BMI

–Demo confidence

–Prediction engine

Factor contribution to score

Important limitation: this is an educational prototype, not a health diagnosis, clinical calculator, or personalized dietary recommendation.

From inputs to an explainable prediction.

The application exposes the workflow: features enter, values are normalized, a score is calculated, and the result is explained. The API will later replace only the dummy calculation step.

Features

Age, height, weight, activity, vegetables, water, and family history become model inputs.

Classification

The model maps the feature combination to a risk class and probabilities.

Interpretation

Factor contributions explain the output without turning correlations into a medical diagnosis.

How does this prototype work?

The first version uses deterministic browser rules to imitate the response shape of a classification model. BMI is calculated from height and weight, then combined with activity, vegetable intake, water intake, age, and family history. These rules exist to test the interface before the API is available, not to replace a trained model. Once the backend is connected, the same form will send features to the prediction endpoint and display the returned class, probabilities, and explanation. The user experience can therefore stay consistent while the calculation engine is upgraded.