As businesses continue to evolve in the digital age, the need for efficient and accurate attendance tracking has become paramount. This paper explores the development and implementation of a Cloud Powered Attendance Solution leveraging the advanced capabilities of Amazon Web Services (AWS) and its Rekognition service. The foundation of this solution lies in AWS Rekognition, a state-of-the-art image and video analysis service. By harnessing the power of Rekognition, the system is capable of accurately detecting and recognizing faces in real-time, offering a secure and convenient alternative to traditional attendance tracking methods. The proposed system utilizes the face detection and real-time recognition framework offered by AWS Cloud to recognize students and capture their images to indicate their attendance by correlating their faces with the database. The proposed Cloud Powered Attendance Solution is hosted on AWS, providing scalability, reliability, and security. In addition, privacy, security, and compliance are taken into account to guarantee the attendance solution is implemented in an ethical and responsible manner. In conclusion, the Cloud Powered Attendance Solution presented in this paper represents a forward-looking approach to hourly tracking, offering businesses a reliable, accurate, and technologically advanced alternative to traditional attendance management systems. The integration of AWS Rekognition with Machine Learning and Deep Learning technologies paves the way for a new era in attendance tracking, aligning with the ever-evolving landscape of modern workplace demands.