Interactive chatbot for PDF content conversation using an LLM language model

Ting Tin Tin and Seow Yu Xuan and Wong Man Ee and Lee Kuok Tiung and Ali Aitizaz (2024) Interactive chatbot for PDF content conversation using an LLM language model. International Journal of Advanced Computer Science and Applications (IJACSA), 15 (9). pp. 1-7. ISSN 2156-5570

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Abstract

Natural Language Processing (NLP) leverages Artificial Intelligence (AI) to enable computer programs to understand and generate human language. ChatGPT has recently become popular in assignment accomplishment. This project aims to develop and improve an interactive PDF chat application using OpenAI's language model (LLM), specifically GPT-3.5, integrated with Streamlit and LangChain frameworks to assist in learning process. The application enhances user interaction with documents by providing real-time text extraction, summarization, translation, and user-defined question-answering to increase learning opportunities. Key features include obtaining document summaries, multilingual support for improved accessibility, and a document preview section with features such as zoom, rotation, and download. Although it currently faces limitations in handling image-rich PDFs, future enhancements include better image rendering, conversation history, and query download features. Overall, this interactive chatbot model aims to streamline document interaction, making information retrieval efficient and user-friendly.

Item Type:	Article
Keyword:	Natural language processing; learning opportunities; ChatGPT; PDF
Subjects:	L Education > LB Theory and practice of education > LB5-3640 Theory and practice of education > LB1050.9-1091 Educational psychology Q Science > QA Mathematics > QA1-939 Mathematics > QA71-90 Instruments and machines > QA75-76.95 Calculating machines
Department:	FACULTY > Faculty of Social Sciences and Humanities
Depositing User:	ABDULLAH BIN SABUDIN -
Date Deposited:	28 Feb 2025 14:11
Last Modified:	28 Feb 2025 14:11
URI:	https://eprints.ums.edu.my/id/eprint/42973

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