Machine Learning Based Currency Classification System

There are 39 million blind people and 284 million people who are visually impaired worldwide, according to a World Health Organization estimate. In today's fast-paced environment, blind people are actively involved in learning new skills that will enhance their quality of life. As social beings, people frequently deal with money throughout their lives. Due to the incapability to recognize things, blind people are having a lot of trouble in dealing with money. In order to assist them in recognizing the currency we ought to bring a mobile application with a voice based output that reads cash. The classification of various cash notes in this application is done using machine learning techniques. To increase the model's accuracy, we have used data augmentation techniques and Teachable Machine to train the model. To execute ML models on numerous devices, we have used TensorFlow Lite library.