Student Performance Analysis using Machine learning and Flask Framework

YEAR :2023


The present study investigates the prediction of academic achievement (high vs. low) machine learning and flask framework. Student’s performance is a success factor in higher education institutions. The excellent record of academic achievements raises the institution’s ranking as one of the criteria for a high-quality university. The main reason behind this is the lack of research on exploring different prediction methods and key attributes that influence the student’s academic performance. This systematic review intends to explore the current machine learning methods and attributes used in predicting the student’s performance. Measuring Student’s performance is necessary for the mordent society. Applications of Machine learning algorithms increased the growth in various fields like disease prediction, student’s performance prediction, and crop productions prediction and in various other fields. The main aim of this study is to improve the prediction of students’ performance using various machine learning algorithms. And apply this model file in web application and it will predict the students  performance.



•System : Dual core.
•Hard Disk : 40 GB.
•Floppy Drive : 1.44 Mb.
•Monitor : 15 VGA Colour.
•Mouse : Logitech.
•Ram : 4 GB.


•Operating system : Windows XP/7/10/11.
•Coding Language : JAVA
•Data Base : MYSQL


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