CURRENCY RECOGNITION WITH DEEP LEARNING TECHIQUES

Abstract

This project focuses on developing a deep learning–based model using Convolutional Networks (CNNs) for accurate and efficient Indian paper currency recognition, which significantly aids visually impaired individuals. By training a Keras deep learning model and deploying it through a Flask-based web application on Heroku, the system ensures reliable, high-speed, and automatic currency identification with minimal complexity. This approach enhances accessibility and inclusivity while meeting modern technological needs.