• Pinki Yadav
• Sanchita Rathi
• Daksh Malhotra
• Prateek Bansal

This research paper discusses the two of the process, first is marking the attendance of the students by analyzing their face structure and the second is studying their attentiveness during the class. The main aim of developing this python based application is to provide a complete school or college-based attendance management and attentiveness system for students and a profile system for staff and management. this system will monitor the attendance of the students for the entire year in the class by recognizing their faces with the help of Haar cascade, use for object identification as well as detection and LBPH Face recognizer. The attentiveness will be monitor considering face gestures such as yawning and inattentiveness, Dlib is used to detect facial features and landmarks like mouth distance and eye ratio of a person.

Attendance system, Attention System, Qt designer, Python, Haar cascade, LBPH face recognizer, Dlib

"STUDENT ATTENDANCE & ATTENTION SYSTEM (Auto & Manual)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.b522-b527, July-2021, Available :http://www.jetir.org/papers/JETIR2107195.pdf

"STUDENT ATTENDANCE & ATTENTION SYSTEM (Auto & Manual)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppb522-b527, July-2021, Available at : http://www.jetir.org/papers/JETIR2107195.pdf