UniBot

dc.contributor.advisor	Adamkó, Attila Tamás
dc.contributor.author	Shehata, George Nabil Zaref Gayd
dc.contributor.department	DE--Informatikai Kar
dc.date.accessioned	2025-02-22T23:43:59Z
dc.date.available	2025-02-22T23:43:59Z
dc.date.created	2023-04-27
dc.description.abstract	This project aims to break down barriers by providing a platform where anyone can directly query PDFs, making information more accessible. Whether you're a student tackling academic materials or a professional analyzing reports, this solution empowers learning and boosts efficiency. By leveraging cutting-edge technologies like GPT-3.5-turbo from OpenAI and employing user-friendly tools such as Flask for web development and AWS services for scalability, this project promises a seamless and secure experience for all users, revolutionizing the way we interact with PDFs. Furthermore, by simplifying the process of extracting specific information from PDF documents, this initiative transforms a stressful task into a simple and efficient experience for users of all backgrounds.
dc.description.course	Mérnökinformatikus
dc.description.degree	BSc/BA
dc.format.extent	55
dc.identifier.uri	https://hdl.handle.net/2437/387508
dc.language.iso	en
dc.rights.access	Hozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében.
dc.subject	Artificial intelligence
dc.subject	Chatbot
dc.subject	Database
dc.subject	Python
dc.subject.dspace	Informatics
dc.title	UniBot

Megjelenítve 1 - 1 (Összesen 1)

Megjelenítve 1 - 1 (Összesen 1)