This project aims to build a system that classifies students based on their academic performance using machine learning techniques. The system features a graphical user interface (GUI) built with tkinter, and various classification algorithms from the scikit-learn library. The primary goal is to predict student performance categories (e.g., Poor, Average, Good, Excellent) based on features such as attendance, homework completion, grades, participation, and extracurricular activities.)
This project aims to build a system that classifies students based on their academic performance using machine learning techniques. The system features a graphical user interface (GUI) built with tkinter, and various classification algorithms from the scikit-learn library. The primary goal is to predict student performance categories (e.g., Poor, Average, Good, Excellent) based on features such as attendance, homework completion, grades, participation, and extracurricular activities.)
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