Published Paper Details:

It is a modern, user friendly application which is used for automation of attendance taking of departments, educational institutions and workplaces. It makes use of facial recognition technology correctly and recognizes and authenticates the id of individuals with no need to rely on the manual method of identification and verification, which is inefficient and inaccurate. By utilizing this system to keep track of attendance in real time and compiling a database in an intuitive interface, has been made possible. The primary purpose of the project is to increase productivity, lower administrative workload, and guarantee a solid attendance management process. Moreover, the system includes security features, data analysis tools and provides enlightening reports that allow administrators view attendance trends and ensure compliance. Using an automated solution such as this allows organizations to move efficiently, minimize the role of the human factor, and promote a more disciplined working environment. The purpose and scope of the system are explained in this document, together with the design methodology and a literature review showing its importance and the possibility of its utilization. The innovation of the FaceTrack AI based Attendance Management System is an automated approach of improving the existing process of attendance tracking in both educational as well as professional environment. It uses the facial recognition technology which assures accurate, secure and realtime attendance marking and removes the human errors and fraud entries which usually happens in manual marks. Advance machine learning models have been used in the system to detect and recognize the face effectively and also with a friendly web application for management purposes. It has significant features which are scalable and efficient such as biometric authentication, database integration and automated report generation. Moreover, data visualization tools found in an admin dashboard facilitate the ability to analyze the data insightfully, which equips the decision making processes with sound knowledge.