A pioneering graduation project developed by a student team from the Business Information Technology (BIT) program. This innovative web-based platform utilizes two distinct Artificial Intelligence models: a generative model for visualizing new interior spaces and a Large Language Model (LLM) to execute design modifications based on user text commands (e.g., “add a gray sofa” or “change walls to wood texture”). The project offers architects and homeowners a cost-effective tool to visualize spaces before physical implementation. Team: Ameer Wael Saeed, Qasim Amin Abdullatif, Waddah Abdulaziz Mahdi, and Abdulrahman Riyadh Al-Himyari.
AI-Powered Interior Remodeling Platform
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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.
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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.