Nowadays, anyone may easily use a laser printer to create money paper with the highest degree of accuracy. The identification of fake currency is a significant problem that affects the economies of almost all countries, including India. The identification of fake currency is now a difficult problem for many researchers. Edge detection, feature extraction, and image segmentation are just a few of the many procedures that go into identification. A deep learning-based framework for convolutional neural network (CNN) is suggested to address this issue and identify the fake Indian cash. For the purpose of evaluating performance, accuracy, precision, recall, and F1 score will be employed. The results will indicate whether the Indian rupee note is authentic or not.