A student team developed an analytical model using AI and Machine Learning to understand factors influencing academic performance and predict future outcomes. By analyzing historical data such as attendance and grades, the system provides predictive reports to assist educational institutions in data-driven decision-making. The project team: Suhaib Samir, Essam Nasser, and Osama Zaid.
AI System for Student Performance Prediction
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Launching Graduation Project Defenses for the AI and Data Science Program at IUTT for the Academic Year 2025–2026
17/04/2026
Launching graduation project defenses for the AI and Data Science program at IUTT for 2025–2026, attended by university leadership and elite specialized academics.
IUTT Highlights "DermAI" as a Qualitative Achievement in Medical AI and Smart Healthcare
17/04/2026
IUTT’s DermAI project represents a breakthrough in medical AI, utilizing nine specialized agents and LLMs for professional dermatological diagnosis and healthcare management.
IUTT Showcases "Rasid Logs Forensic": An Innovative Tool for Digital Forensics and Incident Response
15/04/2026
IUTT students develop “Rasid Logs Forensic”, a high-speed digital forensic platform for Windows log analysis and threat detection using Rust and Sigma rules.