Z-ENG: A Student Performance Analytics and Risk Prediction Dashboard
2025-2026 tavasz
Nincs megadva
Téma leírása
Design and implement a data-driven academic performance analytics system that helps visualize student progress, identify potential risk factors, and generate simple predictive insights based on historical academic data.The system should function as a practical decision-support tool for instructors or academic coordinators (not as an official grading or institutional system). It should assist in identifying patterns in student performance and highlighting potential concerns in a clear, interpretable way.
Project Objective:
To build an interactive platform that is able to stores structured academic performance data, analyzes trends across time, identifies at-risk students using simple predictive models, and displays interpretable insights through a graphical interface.
Main Requirements of the project:
1- Database Design
- Store students, courses, grades, and attendance
- Use a relational database (SQLite or PostgreSQL)
2- Performance Analytics
- GPA calculation
- Semester-based summaries
- Performance trend visualization
3- Risk Prediction Module
- Implement one basic classification model (e.g., logistic regression or decision tree)
- Output risk score (Low / Medium / High)
- Show model evaluation metrics
4- Dashboard Interface
- Search and view individual student profiles
- Display charts (GPA trend, attendance, risk score)
- Provide simple explanations of risk factors
5- Testing & Evaluation
- Use simulated dataset
- Report accuracy and confusion matrix
The project is considered complete if it delivers the following outcome:
- Functional backend + database
- Working analytics logic
- Trained and evaluated prediction model
- Interactive dashboard
Maximális létszám:
1 fő