AI MODEL FOR STUDENT PERFORMANCE PREDICTION

Abstract

The Edu Predict AI Student Performance Prediction System is a web-based tool that uses advanced machine learning to analyze and predict how well students will do academically. It uses several models, like Random Forest, XGBoost, and CatBoost, to look at different factors that affect student success, including academic records, behavior, and family background.The best model is picked automatically based on how well it predicts results, which helps make the predictions more accurate. The system is built using Python and Flask for the back end, along with HTML, CSS, and JavaScript for the front end, and SQLite for storing data.It allows teachers and students to use it with different levels of access. Teachers can keep track of student performance, spot students who might be struggling, and create exams with AI help. Students can enter their own data, take tests, and get predictions about their performance.One great thing about the system is that it keeps learning and improving.