Bank Note Authenticator

• 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.
• The Random Forest Classifier is a powerful model and has been trained on a large dataset which makes it robust and reliable in terms of prediction.

Link to Streamlit webapp