Introduction: The Comprehensive Student Performance Dashboard integrates advanced data analysis techniques with automation features to provide educators with a powerful platform for analyzing, visualizing, and forecasting student performance data. By combining a single-page application (SPA) architecture with React.js for the frontend and FastAPI for the backend, this dashboard aims to streamline the process of monitoring student progress and making data-driven decisions to support student success.
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Automated PDF Extraction:
- Automatically extract semester marks from PDF reports stored in a designated Google Drive folder.
- Convert extracted data into a structured format and calculate total marks, percentage, and SGPA for each student.
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Grouped Extractions:
- Organize extracted data by class or semester, allowing educators to group and access information for specific cohorts.
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Visualizations and Analysis:
- Generate interactive visualizations and analysis on student performance data, including:
- Distribution of grades
- Top-performing students
- Trends over time
- Subject-wise performance
- Utilize JavaScript libraries like Plotly.js and D3.js to create dynamic charts and graphs for enhanced visualization.
- Generate interactive visualizations and analysis on student performance data, including:
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Forecasting Next Semester's Results:
- Implement predictive analytics techniques to forecast students' performance in upcoming semesters based on historical data and trends.
- Provide educators with insights into potential areas for improvement and opportunities for intervention.
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Student Search and Profile:
- Enable educators to search for students by roll number or name.
- Provide a detailed profile for each student, including past semester marks, subject-wise performance, and performance trends.
- Display a chart of the student's performance over time for quick insights.
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Table View and Filtering:
- Present extracted results in a tabular format on the website, allowing educators to view and analyze data easily.
- Implement filtering options to enable educators to filter data based on criteria such as grades, total marks, or subjects.
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Subject-wise Reports:
- Generate detailed subject-wise reports for each semester, providing insights into student performance in individual subjects.
- Allow educators to drill down into specific subjects and analyze performance metrics in detail.
- Frontend: React.js for building dynamic user interfaces and interactive visualizations.
- Backend: FastAPI for handling API requests, data processing, and serving the frontend application.
- Database: PostgreSQL for storing structured student performance data and supporting complex queries.
- Data Analysis: Python libraries like pandas, NumPy, and scikit-learn for data manipulation, analysis, and visualization.
- Authentication: Implement Google OAuth 2.0 for secure authentication and access to Google APIs (Drive and Sheets).
- Deployment: Deploy the application on AWS (Amazon Web Services) for scalability and accessibility, utilizing services like Amazon EC2, RDS, and S3.
Conclusion: The Comprehensive Student Performance Dashboard offers educators a comprehensive solution for analyzing, visualizing, and forecasting student performance data. By leveraging a single-page application (SPA) architecture with React.js for the frontend and FastAPI for the backend, this dashboard provides a seamless user experience and efficient data processing capabilities. With its user-friendly interface, customizable features, and predictive analytics capabilities, the dashboard empowers educators to make data-driven decisions and support student success effectively.