Academic Performance Analysis: Visualization and Insights using Data Science

This project aims to create an interactive platform for visualizing and analyzing academic performance data. The tool processes student grades results, presenting them in visual formats like bar charts, line graphs, and pie charts. It integrates machine learning algorithms to categorize students as top or low performers and predicts strengths and weaknesses in various subjects. The system offers personalized improvement recommendations. This platform enhances academic analytics by transforming data into actionable insights for better educational outcomes. Key Words: Academic Performance, Machine Learning, Data Visualization, Predictive Analytics, Education Technology, Performance Categorization, Interactive Platform.