This project consists of developing a ML API for Bank Notes authentication.
Data is taken from the dataset Bank Authentication UCI Data - Kaggle.com which includes information on images taken from genuine and forged banknote-like specimens.
A Random Forest Classifier was trained and implemented for the dataset. The model was saved and implemented using the pickle module.
FastAPI was used to get requests and predict the authentication of bank notes.