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

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.

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Publication Details

Journal
NATURENGS MTU Journal of Engineering and Natural Sciences Malatya Turgut Ozal University
Published
2024-12-24
DOI
https://doi.org/10.46572/naturengs.1587879
Citations
1
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.35
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article

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

Serpil Aslan, Serdar Budak
1 citations
NATURENGS MTU Journal of Engineering and Natural Sciences Malatya Turgut Ozal University
AI in Service Interactions
0.35
article

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

Serpil Aslan, Serdar Budak
article en
1 citations

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.

NATURENGS MTU Journal of Engineering and Natural Sciences Malatya Turgut Ozal University
Malatya Turgut Özal Üniversitesi (TR)
Quality Education
Openalex Percentile: Top 30%
AI in Service Interactions
0.35
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AI-Powered GPT-Based University-Specific Chat Assistant: UniROBO — Serpil Aslan, Serdar Budak · NATURENGS MTU Journal of Engineering and Natural Sciences Malatya Turgut Ozal University (2024) | TGRS Research Map | TGRS