With the continuous evolution of digital technology, educational institutions are embracing innovative solutions for enhancing classroom management. Traditional approaches, such as manual attendance recording and inefficient resource allocation, result in increased administrative burdens and errors. The Smart Classroom Management System (SCMS) introduces AI-driven automation to streamline attendance tracking, optimize resource usage, and leverage real-time data analytics for improved decision-making. This study explores the implementation of SCMS, which employs facial recognition technology for seamless student authentication and machine learning techniques for intelligent resource scheduling. Experimental evaluations indicate that SCMS significantly enhances efficiency by reducing manual errors, increasing resource utilization, and improving student engagement. These findings underscore the role of AI in transforming classroom management and fostering a data-driven educational ecosystem.