This research article presents an innovative idea for attendance management. It developed a CCTV-based system that applies deep face recognition and cloud computing. The traditional ways of keeping attendance through manual processes have often been inefficient and inaccurate while the current biometric systems have hygiene, forgery, and technical malfunction concerns. This paper propose a solution that combines high-resolution CCTV cameras with advanced deep learning algorithms for face recognition, using the flexible processing and storage capabilities offered by cloud technology. Its purpose is to provide a contactless way of recording attendance in schools and Institutions. In this article, we examine a way in which the use of this technology helps in tracking attendance, eradicating errors, and enhancing security since the device is capable of identifying a person with 100% efficiency in real time. This paper also makes sure that it takes note of scaling and the capacity that cloud-based solutions have to ensure that they can be tuned for organizations specifically and integrate with their frameworks properly to create attendance systems that are unique to them. This paper aims at trying to solve this issue basically in general by covering several aspects regarding cloud-assisted deep face recognition in general, the effectiveness of an attendance system, and the ethical issues that come with such capabilities. This research paper compares the traditional methods of taking attendance, this new system is more efficient in terms of accuracy, efficacy, and user satisfaction.