The performance of students is affected by various factors, including attendance tracking and school uniform checking. This study develops a system for automatically tracking student attendance and checking school uniforms using the pre-trained YOLOv8-based models. The system consists of six models: YOLOv8Students for detecting humans, YOLOv8Face and ArcFace for identifying students, YOLOv8Shirts and YOLOv8Pants for detecting and predicting types of shirts and pants, respectively, and YOLOv8Card for detecting student ID cards. Our research addresses practical concerns in educational institutions. The experimental results show that the models perform fairly well in optimal lighting conditions.