Optimization study that models delivery scheduling as QUBO and compares Simulated Annealing, D-Wave Classical, and OR-Tools (MILP) approaches.

CLAHE pre-processing enhanced deep learning-based binary classification for oral cancer images; includes documented training flow, metrics, and usage steps.

Multilingual intelligent flashcard generation with Gemini + Streamlit; includes theme, accessibility, and PDF/CSV/Anki export options.

Mobile-responsive, multi-page corporate website; includes content pages, contact forms, and a simple admin panel. Live site: https://www.antizmirdisleksi.com

Breast cancer prediction using XGBoost; can be quickly run as a single-file Python application with data file included.