This is a Flask application that allows patients at the emergency department of hospital to get an estimated waiting time before receving treatment.

The model is based on XGBoost regression algorithm where it takes the age of patient, his queuing number (i.e. number of patients before him) and his triage level; and return an predicted wait time.

''data_preprocessing.py`` python script that transforms the dataset for model training

scaler.pkl pickle file of the scaler, which normalizes the input values

xgb_model.py XGB model that predicts the estimated waiting time

app.py the deployable flask application