صالحة Salehah Aljoufi

تخصص الذكاء الاصطناعي · دفعة 2025

Automatic Soccer Penalty Detection (Trajectory of Ball and Goalkeeper)

Detecting the trajectory of the soccer ball and goal keeper with their pose to predict whether the shot would cause a goal. From the collected data we can get statistics such as “Expected Goal on Target (xGOT)”. Furthermore, you can use similarity search from the detections to find similar penalty shots.

اقرأ التقرير النهائي (PDF)

اطّلع عليه في تقرير البرنامج (PDF)

تخصص الذكاء الاصطناعي · دفعة 2024

Beneath the Waves: Leveraging Sam for Coral Reef Dataset Generation & Advanced Vision Models

Inspired by the KAUST-Neom coral restoration project in the Red Sea, our work leverages advanced computer vision and deep learning to protect one of the most vital ecosystems on Earth. Coral reefs, essential to marine biodiversity but under threat from climate change and human activity, require innovative monitoring solutions. We developed an automated tool that uses precise segmentation to efficiently monitor coral health and support large-scale restoration. This technology aims to enhance global conservation efforts, providing real-time insights to help safeguard the future of our oceans.

اطّلع عليه في تقرير البرنامج (PDF)

تخصص الذكاء الاصطناعي · دفعة 2023

Guardiana: Multi-Modal Multi-Label Classification Framework for AI Misalignment

Guardiana: an innovative framework designed to safeguard AI models and online data. With its multi-modal capabilities, Guardiana excels in identifying and flagging harmful content across Text, Images, and Audio formats. This adaptable system empowers government bodies and business owners to define safety parameters, granting them the authority to determine acceptable content. By combining advanced detection methods with user-defined safety criteria, Guardiana takes a significant step towards fostering a secure online environment for all!

اطّلع عليه في تقرير البرنامج (PDF)