Machine Learning Based Secure Cardless Financial Transactions Using Multi Factor Authentication

In this rapidly changing world, ensure secure transactions is more important than ever. This paper discusses how combining artificial intelligence with multi-factor authentication enhances the security for cardless transactions. Machine Learning plays a vital role by automatically detecting and preventing fraud activities, while MFA adds extra layers of security. This paper includes algorithms like Convolutional Neural Networks Algorithm, Advanced Encryption Standards Encryption Algorithm and Cosine Similarity for feature mapping. These layers include using mobile devices and advanced identification methods like facial recognition, making the process secure and user-friendly. Together, these technologies create a robust defense system that not only prevents fraud but also ensures smooth and successful transactions. This combination facilitates the way for future growth of digital finance, providing both safety and convenience.