Student Performance Analysis and Biometric Attendance
Prof. Supriya Bhosale,  Vikash Shah,  Sidhant Sagar,  Shilpi Singh,  Avdhesh Kumar
In today’s time, the performance of the student is decreasing gradually. Because of this unemployment in our country is increasing at a very high rate. So, we need to analyze the performance of a student and increase the efﬁciency of a student. In this project, we have taken various factors that affect the performance of the student. In many schools and colleges, the traditional method is used to record attendance. Later all the data is entered in computer and aggregate attendance is calculated. Due to this data redundancy, inconsistency and data insecurity occurs and also the attendance of latecomers and absentee students are marked. In our system Initially, the teacher’s authentication is important to start the portal and then student’s attendance is taken. In this system, attendance is implemented using Arduino. A web application is created using Python scripting. The advantage of this method is that the attendance of latecomers is not marked. It is user-friendly, more secure and there is no data redundancy or inconsistency and affordable.
Keywords- Data redundancy, Python language, Authentication, Prediction, Machine learning
Cite this Article
Prof. Supriya Bhosale,  Vikash Shah,  Sidhant Sagar,  Shilpi Singh,  Avdhesh Kumar,   "Student Performance Analysis and Biometric Attendance"
, International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.7, Issue 4, pp.254-256, October 2019, Available at :http://www.ijedr.org/papers/IJEDR1904044.pdf