Student Performance Prediction Using AI and ML: State of the Art
Worked on an AI/ML project for student performance prediction based on state-of-the-art methods. Prepared and published research through a Mediterranean conference on embedded computing. Focused on building and refining ML-based predictors for student performance outcomes. • Applied AI/ML methods for student performance prediction • Evaluated and improved prediction approach for research readiness • Produced conference publication deliverables • Advanced project development during Jan 2026–Present