Artificial Intelligence Specialist | Data Analyst Proficient in Python, a fundamental language for AI and machine learning. Skilled in data analysis and visualization using Python, Tableau, and Power BI, with a strong foundation in extracting insights and driving data-driven decisions.
The Graph DTAx project leverages graph mining and deep neural networks, including Graph Convolutional Networks (GCN), to enhance drug-protein interaction predictions. It helps identify potential medication side effects and supports efficient drug repurposing, accelerating treatment discovery.
The Fall Detection System is an IoT-powered solution designed to enhance elderly safety by detecting falls and tracking location in real time. Using advanced hardware components like motion sensors and GPS, it continuously monitors movement and sends instant alerts to caregivers. This system ensures a quick emergency response, promoting independence and peace of mind.
Machines can now grasp the meaning of words just like humans do. This is achieved using Word2Vec, a technique that transforms words into mathematical representations (word embeddings), allowing AI to understand relationships between them. Applied to an Arabic text corpus, this approach enhances translation, search engines, and chatbots, making Arabic language processing smarter, faster, and more accurate.