AI-Powered GPT-Based University-Specific Chat Assistant: UniROBO

Abstract

AI-powered chat applications are innovative solutions that facilitate user interaction and information access. These applications improve user experience by providing personalized and context-sensitive responses thanks to large language models and natural language processing techniques. This study examined the design and development process of UniRobo, an AI-powered chat application developed for Malatya Turgut Ozal University students and staff. UniRobo is an application that provides instant information on topics such as education, food menus, and campus events and offers personalized responses using large language models and natural language processing techniques. In the development process, based on user needs analysis, the mobile application was created with React Native, the back-end was created with Python and FastAPI, and the MongoDB database was integrated. Artificial intelligence capabilities were supported by OpenAI API and fine-tuning, thus adapting to university-specific content. Retrieval-Augmented Generation (RAG) architecture and Azure AI Search technology increased user satisfaction by providing more accurate and faster responses. As a result, UniRobo has made university life more accessible, providing users with access to fast and accurate information, and has demonstrated the potential of artificial intelligence-based solutions in the education sector.

Keywords

• Chat Asistant
• GPT
• Retrieval-Augmented Generation
• Azure AI

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