Implementation of the Voice Based Control and Detection of the Currency in ATM Transaction

Automated Teller Machines (ATMs) play a crucial role in modern banking systems. However, the user interface of traditional ATMs primarily involves a touch screen and physical buttons for interaction. To improve the ATM user experience and enhance security, we propose a novel approach that utilizes voice recognition technology for user control and currency denomination detection during transactions. Our project involves developing a software interface that employs speech recognition algorithms and machine learning models to detect user commands and currency denominations. This system is designed to be compatible with existing ATM hardware, ensuring seamless integration into current banking systems. Overall, the implementation of a voice-based control and detection system for ATMs has the potential to revolutionize the ATM experience for users and increase security in the ATM environment.