Students of the BIT program presented a qualitative project titled “Fungi AI.” This intelligent system utilizes Deep Learning and Cloud Integration to discover and classify fungi into five distinct categories via a mobile application. The team included: Hudhaifa Sadiq, Ahmed Essam, Yassin Abdulaziz, Khalil Mohammed, and Suhail Hussein. This project exemplifies the university’s vision of leading digital transformation through practical AI solutions for medical and agricultural challenges.
Fungi AI: Mushroom Detection with Deep Learning
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IUTT Faculty of Multimedia Continues 2026–2027 Graduation Defenses Featuring 3D Films, Interactive Storytelling, and Documentaries
04/11/2026
IUTT Multimedia senior students defend graduation projects featuring 3D short films, interactive narrative animation, and social documentaries.
IUTT Faculty of Multimedia Continues Graduation Defenses Featuring Virtual Campus VR/AR and 3D Modeling Projects
26/10/2026
IUTT Multimedia students present advanced graduation projects featuring 3D campus modeling, “Baseera” VR/AR tours, and interactive digital gaming.
IUTT Faculty of Multimedia Continues 2026–2027 Graduation Defenses Featuring 3D Games, AR/VR Tools, and Sign Language Projects
26/10/2026
IUTT Multimedia students defend innovative graduation projects including 3D Arabic gaming, AR/VR mural design tools, and sign language accessibility platforms.