The traditional method of taking attendance has become outdated in this age of rapidly evolving new technologies. The AI-based attendance system is a technological solution that automates the process of taking attendance with high accuracy and efficiency using advanced technologies such as facial recognition, biometrics, and machine learning algorithms. The system combines various technologies to provide accurate attendance tracking and access control. It includes a door lock that only opens for authorized individuals and an attendance tracking system that uses facial recognition, RFID, and machine learning algorithms to identify and record attendance data of individuals. The facial recognition technology captures images of individuals and trains them using machine learning algorithms, ensuring that only authorized individuals can access the system and havetheir attendance recorded. The system also includes RFID technology, which provides access to the premises, and a web portal that allows authorized personnel to check attendance in real- time. The system is highly scalable, customizable, easy to use, and requires minimal training, making it suitable for small and large organizations. In summary, the AI-based attendance system is an innovative solution that provides accurate attendance tracking and access control, ensuring that only authorized individuals have access to the facility. The system is scalable, customizable, easy to use, and requires minimal training, making it a flexible solution for schools, universities, and organizations that require strict access control and efficient attendance tracking.

Keywords : Local Binary Pattern Histogram(LBPH). Face Detection, Face Recognition, Haarcascade Classifier, Python, StudentAttendance.