Paper Title :Trove.AI - A Full-Stack Chatbot for Dynamic Data Interaction and Query Resolution
Author :Jamuna.R, Kavitha L, Dharani Shri S, Fathima Jasminm, Kamaleshv
Article Citation :Jamuna.R ,Kavitha L ,Dharani Shri S ,Fathima Jasminm ,Kamaleshv ,
(2024 ) " Trove.AI - A Full-Stack Chatbot for Dynamic Data Interaction and Query Resolution " ,
International Journal of Advances in Computer Science and Cloud Computing (IJACSCC) ,
pp. 1-5,
Volume-12,Issue-2
Abstract : This paper presents the Document Analyzer, a full-stack application designed for efficient document analysis
through natural language queries. Users can upload PDFs and DOCX files, from which the system extracts text and
processes it using advanced natural language processing techniques. Built with React for the frontend and FastAPI for the
backend, it leverages LlamaIndex for document embeddings and MistralAI for query interpretation. Data is stored in a
flexible MongoDB database, ensuring secure user authentication and personalized experiences by retrieving historical
interactions. This solution streamlines the extraction of insights from complex documents, making it an essential tool for
users seeking to navigate extensive information efficiently.
Keywords - Document Analysis, Natural Language Processing, Full-Stack Development, User Authentication, Machine
Learning.
Type : Research paper
Published : Volume-12,Issue-2
Copyright: © Institute of Research and Journals
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Published on 2025-02-15 |
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