This study embarks on an innovative project aimed at leveraging machine learning algorithms to analyze and predict students’ aca_x005fdemic performance. By extracting meaningful data from existing datasets and arranging it according to specific test sets, the project seeks to develop a robust framework that facilitates a more personalized learning experience. Utilizing Python functions for database connectivity and MySQL queries for data retrieval, the initiative efficiently structures and sorts data, paving the way for detailed comparative analyses to identify the most precise prediction methods. Subsequent efforts will focus on recommending suitable exercises to students based on predicted scores and study times, enhancing the accuracy and effectiveness of learning strategies.