The “Bank Note Authenticator App” is a Streamlit application that utilizes the Random Forest Classifier algorithm to predict whether a banknote is authentic or not. The app allows users to input various characteristics of the banknote such as variance, skewness, curtosis, and entropy, and the app will predict whether the note is genuine or counterfeit. The Random Forest Classifier model is trained on a dataset of banknote characteristics and corresponding authenticity labels, which allows it to make accurate predictions for new data points.