Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{159846,
        author = {Rakshitha P and Rakshitha V and Ravuru Indu and Sushmitha H and Keerthi Mohan},
        title = {TWO-LAYER AUTHENTICATION FOR SECURE APPLICATIONS USING AI-ML},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {12},
        pages = {563-566},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=159846},
        abstract = {Improved security is provided by two-layer authentication. A higher level of authentication assurance is provided by two-layer authentication, which is crucial for the security of online banking, voting systems, secure transactions, secure virtual meetings, etc. The two-layer authentication requirements for many banking systems are met by delivering a One Time Password (OTP), processed by an SMS, to the user's linked device. With mobile phones becoming more and more capable tools, a two-layer OTP based authentication strategy for secure applications has been developed. This two-layer authentication involves face recognition in the first layer followed by OTP generation. In our proposed approach we authenticate verified users and allow their access to the system and deny access to unauthorised person through this two-layer authentication. Our proposed system achieves better characteristics than the other systems. This proposed approach can be used for many applications such as online banking system, voting system, secure transactions, secure virtual meetings, etc.},
        keywords = {OpenCV, Python, facial-recognition, OTP generation, CNN},
        month = {},
        }