Enhancing Trust in Currency Transactions: Currency note Authentication with Transfer Learning

This project, "Enhancing Trust in Currency Transactions: Currency Note Authentication with Transfer Learning," employs transfer learning in machine learning to improve the accuracy and efficiency of authenticating physical currency notes. By leveraging pre-trained deep learning models, the system distinguishes genuine from counterfeit notes, bolstering trust in currency transactions. The research includes developing a transfer learning framework, creating datasets, and evaluating the system's effectiveness against counterfeit scenarios. This work contributes to enhancing the security of currency transactions in our digital financial landscape.