Abstract
Abstract: The system investigate teacher’s instructional activities from live audio of online class. The system is trained using python to identify the occurrences of eight key instructional activities from teacher audio. The system was able to identify eight key instructional activities using speech recognition techniques with an eye towards providing automatic feedback to teachers. One advancement in the field of automation is the Automated Attendance system replacing the old and traditional attendance marking. This system is based on the face detection and face recognition algorithms. The concept of this paper is to provide real time teacher attendance to the faculty’s data base. Automatically detects the teacher face using the web camera and detect the facial part using Haar cascade algorithm and the image undergoes the various techniques and will compare with reference image, Later the attendance of the teacher is updated .Thus with the help of this system time will be saved and it is so convenient to record the attendance at any time throughout the day.
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