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Dr. Ozan Önal
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PROJECTS & STUDIES

Projects and Studies

Selected studies, artificial intelligence projects, research applications and technical work.

Artificial Intelligence Assistant – Live Demo
Python, Artificial Intelligence, NLP, RAG, LLM, Sentence Transformers, ChromaDB, Streamlit, Linux

Artificial Intelligence Assistant – Live Demo

ATTENTION: THIS APPLICATION IS A DEMONSTRATION VERSION ONLY. The purpose of this version is not to deliver highly accurate responses, but to demonstrate the integration and operational feasibility of the developed artificial intelligence architecture in a live environment. Due to limited server resources, the demo uses a lightweight language model. Therefore, accurate, consistent, or meaningful responses to every question should not be expected. The system may generate incomplete, incorrect, or irrelevant answers. Dr. Ozan ÖNAL has also conducted development work using higher-capacity language models to build systems with more advanced contextual understanding and response generation capabilities. The current demo does not represent the final performance of these development efforts. About the Project: This artificial intelligence assistant, developed by Dr. Ozan ÖNAL, integrates natural language processing, document-based information retrieval, semantic search, and RAG architecture. The system supports local deployment and, when appropriately configured, can process information without transmitting data to external AI services. The live demo primarily focuses on the developer's academic research, projects, and professional expertise.

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ozanonal.com – Extensible Academic and Professional Web Platform
Python, Django, HTML, CSS, JavaScript, SQLite/PostgreSQL, Authentication, Role-Based Access Control, SEO, Responsive Design, Multilingual Content Management

ozanonal.com – Extensible Academic and Professional Web Platform

ozanonal.com is a Django-based, multilingual and extensible web platform designed and developed by Dr. Ozan Önal for managing academic studies, artificial intelligence projects, publications and professional content within a unified digital environment. The platform includes user and role management, article and project management, user profiles, administrative tools, page-view and login tracking, SEO-oriented content structures and an architecture designed for future extensions.

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Prediction and Analysis of Ionic Conductivity in LLZO-Based Solid Electrolytes Using Machine Learning and Explainable Artificial Intelligence
Python, Machine Learning, Explainable AI (XAI), SHAP, Scikit-learn, Random Forest, Support Vector Regression (SVR), XGBoost, Gradient Boosting, Ensemble Learning, Pandas, NumPy, Matplotlib, Seaborn, Statistical Analysis, Feature Engineering, Materials Informatics

Prediction and Analysis of Ionic Conductivity in LLZO-Based Solid Electrolytes Using Machine Learning and Explainable Artificial Intelligence

Developed by Dr. Ozan Önal as part of his doctoral research, this study investigates the prediction of ionic conductivity in LLZO (Li₇La₃Zr₂O₁₂)-based solid electrolytes using machine learning and explainable artificial intelligence. The research evaluates material composition, dopant elements, stoichiometric ratios, and experimental parameters through comparative machine learning analyses. SHAP-based explainability techniques are employed to investigate the relative importance of the factors influencing ionic conductivity. The study presents a data-driven approach to supporting materials research and development for next-generation solid-state battery technologies.

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Dr. Ozan Önal | Demo Asistan
Bu, Dr. Ozan Önal tarafından geliştirilen yapay zekâ asistanının demo sürümüdür. Daha gelişmiş sürümde daha ayrıntılı ve profesyonel yanıtlar hedeflenmektedir. Yanıtlar hatalı veya eksik olabilir; cevap süresi uzayabilir.
Merhaba! Dr. Ozan Önal'ın çalışmaları ve projeleri hakkında soru sorabilirsiniz.