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@article{169464,
        author = {Dhruv Gonnade and Chetan Parate and Gaurav Madavi and Vighnesh Durge},
        title = {Doc-Bot Conversation Tool},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {1936-1938},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=169464},
        abstract = {A Document Conversation Tool is introduced in this document to extract text from provided documents and retrieve specific answers based on user queries. Users can use the tool to upload documents, from which relevant text sections are culled for quick reference. Through a straightforward query interface, users can locate specific information or receive concise answers to their questions directly from the document content through the document content. Research, business, and customer support environments can benefit from this interactive approach because it reduces the time required to find critical information. The tool's role in enhancing document-based workflows and information retrieval is highlighted in this abstract.},
        keywords = {Text Extraction, Answer Retrieval, Document Navigation, Document Management, Content Extraction},
        month = {November},
        }