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| STUDENT ACHIEVEMENT TRACKING SYSTEM USING MACHINE LEARNING |
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Author Name Abishek P, Ajith V, Sesanth Kaarthik R and Vikrant K Abstract Tracking student performance is crucial for any educational institution these days as it helps measure advancement, single out students who need assistance, and enhance the learning process. The conventional methods of tracking student performance are often manual, lack the capacity to provide real-time insights, and are incredibly tedious. This paper discusses the provision of a web-based Student Achievement Tracking System (SATS) that automates the tracking of students’ academic performance using technology and data science. This system analyzes grades, attendance, participation in extracurricular activities, and the general level of academic engagement. Using visual and real-time analytics, the system offers a dynamic display of statistics on a dashboard that is accessible to students, teachers, and administrators. In this approach, a web based architecture is built using React on the frontend, the backend logic is processed through Python, and data is secured in a MySQL database. We have implemented the proposed system on actual academic data and it greatly outperformed existing methods in efficiency and accuracy of student performance tracking.
Keywords - Student Performance, Performance Assessment, Learning Assessment, Data Analysis, Web Analytics, Real-time Dashboards, Learning Technology, Visualization Information, Student Engagement, Academic Progress. Published On : 2025-03-21 Article Download : 
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