At eYouth, I deliver sessions on machine learning and data science concepts and mentor students as they build AI projects, including classification and prediction models. I use Python to help students develop their coding and analytical skills.
In my projects, I developed an Alzheimer’s prediction model using gene expression data, feature selection, and tuned SVM and Random Forest models. I also built an interactive Streamlit application for predictions and evaluation on unseen data.
My work includes a fraud-detection pipeline using XGBoost and Random Forest, and a graduation project for Hadith question answering and classification using RAG and cosine similarity. I’m pursuing a Master’s degree in computer science at Cairo University.
