شذى اليوسف

Projects and Achievements During Study: 1- DeepEye: Diabetic Retinopathy Detection (2024–2025) Developed a hybrid CNN + Vision Transformer model for early DR diagnosis. Integrated the model into a web platform for healthcare professionals to upload retinal images and receive diagnostic results. 2- Arabic Fact-Checking with AraBERT (2024) Fine-tuned AraBERT on the AraFacts dataset, achieving 91% accuracy. Applied advanced Arabic text preprocessing and visualized model performance. 3- Arabic Document Classification (2024) Built a Naïve Bayes classifier with NLP preprocessing techniques. Achieved 91% accuracy and developed a real-time web app for document classification. 4- Stroke Disease Prediction (2024) Implemented Decision Tree, SVM, and KNN algorithms to predict stroke risks from patient health data. Evaluated and visualized model performance using matplotlib and seaborn. 5- UniExpole Website (2023) Created a Node.js and MongoDB website to help students find university restaurants and clubs. Built an admin dashboard with full CRUD operations. 6- FindYourWay: Faculty Office Locator Website (2023) Designed a PHP and MySQL web application to locate faculty offices. Followed Agile methodology and included an admin panel for managing data. Other Activities and Achievements: 1-Member of Google Developer Student Club (GDSC), participated in technical workshops and collaborative coding projects. 2- Served on the Report Committee in the Algorithm Club. 3- Completed several AI and ML projects focused on healthcare and NLP. 4- Gained practical experience in web development, data preprocessing, and deep learning.