Paper Title
Intelligent Faculty Tracking System in Educational Institutions

In a large organization, the faculty fraternity is much occupied due to their multiple administrative roles, teaching loads, research experiments, and other creative co-curricular activities. Hence, they are hardly found at their designated places. This creates difficulty for those students who want to meet the faculty for any administrative or academic advice. Eventually, this creates a delay in the process, surpassing deadlines and loss of student's interest in academics. Therefore, this current study proposes an intelligent tracking system to ensure the availability of faculties at any instant time. The app-based system captures the facial image at any given instance of time, processes it using deep learning techniques, and sends feedback to the user about the availability of the concerned faculty. This process enhances the productive working culture in educational institutions. Keywords - Deep Learning, Model Training, Facial Data, Intelligent Tracking System, Recycler View