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’s DermAI project represents a breakthrough in medical AI, utilizing nine specialized agents and LLMs for professional dermatological diagnosis and healthcare management.
IUTT students develop “Rasid Logs Forensic”, a high-speed digital forensic platform for Windows log analysis and threat detection using Rust and Sigma rules.
IUTT students present “CyberTrap”, an innovative cyber deception project using Honeytokens to detect advanced threats and ensure immediate security response.
IUTT students develop a cutting-edge Machine Learning-based Intrusion Prevention System (IPS) capable of processing 1.2M packets per second with 97% accuracy.
IUTT presents “IntelliGuard”, an offline AI-powered anti-malware system for Android that detects Zero-Day threats with 94% accuracy and high efficiency.
IUTT presents “SafeMailer”, an intelligent email security gateway designed to protect communication infrastructures from phishing and malicious threats using AI.
ForensLink project at IUTT introduces an intelligent system using ELECTRA techniques to detect malicious links and protect users from electronic fraud.
IUTT University celebrates the graduation project defenses of its inaugural Cybersecurity batch, reinforcing its leadership in modern digital disciplines.
The Architecture Department concludes Design Studio 3 projects featuring comprehensive analytical and cultural museum designs.