Student Result Analysis
Student Result Analysis provides insightful reports and visualizations on academic performance, enabling institutions to identify trends, areas for improvement, and promote better learning outcomes for students.
Project Overview
This project focuses on analyzing student results to track academic progress and identify performance trends. It offers actionable insights to help educators make data-driven decisions to improve learning methodologies.
Key Features
- Generate performance reports for individuals and groups
- Identify trends in subject-wise and overall results
- Customizable dashboards for academic analysis
Technologies Used
- Python
- Pandas and NumPy for data analysis
- Matplotlib and Seaborn for data visualization