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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Combating Deepfake Voice: A Research Project at IUTT Develops a Smart System to Detect Fake Voices with 94% Accuracy
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A research project at IUTT successfully detects deepfake voices with 94% accuracy, employing advanced techniques to combat digital fraud in real-world conditions.
Adaptive MedFusionNet: A Qualitative Research Project at IUTT for Advanced Dermatological Diagnosis using AI
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The “MedFusionNet” project at IUTT utilizes hybrid AI techniques to achieve 94.58% accuracy in dermatological diagnosis and medical decision support.
IUTT Multimedia Students Showcase Creativity in Art and Design Principles Course Projects
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IUTT Multimedia students showcase distinguished projects in Art and Design principles, merging Yemeni identity with modern techniques in the presence of university leadership.