After KAUST Academy
Majedah works at ROSHN as a software engineer and contributed to the launch of ROSHNTech in November 2025. Majedah also completed the Saudi Digital Academy React and MERN Stack bootcamp in December 2023 and joined the Amad Hackathon at Tuwaiq Academy in July 2026.
Summer project
Artificial Intelligence Specialization · Cohort 2023
Detecting Inappropriate Content in Short Videos for Children
The rise of user-generated content on platforms like TikTok and YouTube Shorts has raised concerns about inappropriate content reaching young audiences. These platforms rely on AI-driven recommendation systems to show tailored content. However, these systems might unintentionally suggest unsuitable material. Our project proposes a solution that combines the InceptionV3 CNN-RNN model for video analysis and the BERT model for understanding text context. The goal is to accurately identify and address inappropriate content in videos and their text descriptions. The dataset consists of 2,255 videos from YouTube Shorts and TikTok. After trying various approaches, the modified InceptionV3 model showed the best results, achieving an accuracy of 84.48%. This is a significant improvement over previous methods.
With KAUST Academy
- Cohort 2023
Artificial Intelligence Specialization
King Abdullah University of Science and Technology · Artificial Intelligence Summer School
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