This paper is published in Volume-8, Issue-5, 2022
Area
Web Application
Author
Tejaswi Borate, Ritika Bhujbal, Vaibhav Bendre
Org/Univ
Dhole Patil College of Engineering, Pune, Maharashtra, India
Keywords
Attendance, Query, Feedback, Machine Learning, Performance, Analysis, Sentimental, Students, Teachers
Citations
IEEE
Tejaswi Borate, Ritika Bhujbal, Vaibhav Bendre. Student attendance recording and performance analysis using a web application., International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Tejaswi Borate, Ritika Bhujbal, Vaibhav Bendre (2022). Student attendance recording and performance analysis using a web application.. International Journal of Advance Research, Ideas and Innovations in Technology, 8(5) www.IJARIIT.com.
MLA
Tejaswi Borate, Ritika Bhujbal, Vaibhav Bendre. "Student attendance recording and performance analysis using a web application.." International Journal of Advance Research, Ideas and Innovations in Technology 8.5 (2022). www.IJARIIT.com.
Tejaswi Borate, Ritika Bhujbal, Vaibhav Bendre. Student attendance recording and performance analysis using a web application., International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Tejaswi Borate, Ritika Bhujbal, Vaibhav Bendre (2022). Student attendance recording and performance analysis using a web application.. International Journal of Advance Research, Ideas and Innovations in Technology, 8(5) www.IJARIIT.com.
MLA
Tejaswi Borate, Ritika Bhujbal, Vaibhav Bendre. "Student attendance recording and performance analysis using a web application.." International Journal of Advance Research, Ideas and Innovations in Technology 8.5 (2022). www.IJARIIT.com.
Abstract
Smartphones are becoming more preferred companions to users than desktops or notebooks. Knowing that smartphones are most popular with users at the age of around 26, using smartphones to speed up the process of taking attendance by university instructors would save lecturing time and hence enhance the educational process. This paper proposes a system that is based on a QR code, which is displayed for students during or at the beginning of each lecture. The students will need to scan the code in order to confirm their attendance. Face recognition and location detection techniques are also included in the app to verify student identity to eliminate false registrations The proposed model computes numerical reputation values for an entity and its aspects based on opinions collected from various platforms. Our proposed system also offers an advanced visualization tool that displays detailed information about its output.