Student Performance Analytics

A comprehensive dashboard that analyzes student performance data using machine learning to provide actionable insights for academic improvement.

Features

• Performance Trends: Visualize academic performance over time with interactive charts
• Predictive Analytics: Machine learning models to predict future performance
• Personalized Recommendations: AI-powered suggestions for improvement
• Comparative Analysis: Compare performance across different subjects and semesters
• Risk Identification: Early identification of students who may need additional support

Technology Stack

• Data Processing: Python with Pandas for data manipulation and analysis
• Machine Learning: Scikit-learn for predictive modeling
• Visualization: Plotly for interactive charts and dashboards
• Web Framework: Streamlit for easy web deployment
• Database: MySQL for secure data storage

Data Sources

• Academic records and grades
• Attendance data
• Assignment submissions
• Quiz and exam results
• Student feedback and surveys

Analytics Capabilities

1. Trend Analysis: Identify patterns in performance over time
2. Correlation Studies: Find relationships between different factors
3. Clustering: Group students with similar performance profiles
4. Predictive Modeling: Forecast future academic outcomes

Benefits

• Helps educators identify at-risk students early
• Provides data-driven insights for curriculum improvement
• Enables personalized learning recommendations
• Supports data-informed decision making

Dashboard Screenshots