Result Analytics Dashboard using Machine Learning
The Result Analytics Dashboard website leverages MongoDB and Node.js to present a dynamic and interactive visualization of website performance metrics. This web-site empowers stakeholders with real-time insights into student results. The Student Result Analytics Dashboard serves as an interactive to...
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Published in | 2025 3rd International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS) pp. 443 - 448 |
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Main Authors | , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
11.06.2025
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Subjects | |
Online Access | Get full text |
DOI | 10.1109/ICSSAS66150.2025.11080734 |
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Summary: | The Result Analytics Dashboard website leverages MongoDB and Node.js to present a dynamic and interactive visualization of website performance metrics. This web-site empowers stakeholders with real-time insights into student results. The Student Result Analytics Dashboard serves as an interactive tool for visualizing and analyzing academic performance data. It provides a comprehensive overview of student results, tracks progress, identifies trends, and enables data-driven decisions. The dashboard features various metrics, including individual and aggregate scores, subject-wise performance, and overall grade distribution. By incorporating visual elements like charts, graphs, and confusion matrices, the dashboard makes complex data more digestible. These visual aids allow users to identify patterns, trends, and areas for improvement, facilitating a deeper understanding of students' academic progress. Interactive features such as filtering and drill-down options enable users to explore specific data segments and gain tailored insights. Moreover, the dashboard integrates real-time data updates, ensuring users access the latest information and insights. This dynamic capability proves particularly valuable in environments where conditions and data characteristics change rapidly. Overall, the result analytics dashboard serves as an essential resource for improving student academic results and gaining insights into weak performances to take necessary corrective actions. |
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DOI: | 10.1109/ICSSAS66150.2025.11080734 |