• Shaik Furkhan
• Yash Rawal
• Ranjeet singh
• Umme Kulsum
• Sharavana K

The initiative focuses on setting the question papers, predicting performance, and attendance. It enables professors to simply keep track of student attendance and performance, and the time used for recording attendance is put to good use when discussing issues. With the aid of teachers and using past year's question papers, a question paper for the internal assessment exam can be automatically prepared. The user's manual sheet work is reduced thanks to the system. Proper data must be studied and analysed in the modern day. The obtained information may be used in monitoring systems in businesses, hospitals, colleges, and other institutions. In this project, we provide a framework for recording attendance in schools and colleges, streamlining and streamlining the laborious process of recording and calculating attendance. As educational institutions are its primary target market, they need an automated system that is economical, user-friendly, portable, effective, and secure. As a result, this prototype offers a mix of all necessary targets. The main benefits are its extremely low cost, compact size, and energy-efficient performance. Researchers now have a unique opportunity to analyse how students learn and what methods of learning result in success thanks to newly created web-based educational technology. Web-based systems commonly gather quantitative data on user behaviour, and these databases can be mined using data mining techniques. This study describes a method for categorising students in order to forecast their final grade using attributes taken from activities reported in a web-based educational system and preserved in the prior records.

Computer Science Education, Student Performance, face recognition, automated attendance, Question paper setter.

"AI/ML BASED SMART ATTENDANCE, STUDENT PERFORMANCE AND QUESTION PAPER SETTER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 7, page no.e644-e649, July-2022, Available :http://www.jetir.org/papers/JETIR2207484.pdf

"AI/ML BASED SMART ATTENDANCE, STUDENT PERFORMANCE AND QUESTION PAPER SETTER", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 7, page no. ppe644-e649, July-2022, Available at : http://www.jetir.org/papers/JETIR2207484.pdf