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This is a Document Question Answering (Doc-QA) system built with Python and Streamlit. Users can upload a PDF, and ask questions related to the document content. The system searches the document and provides the most relevant answers.

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Document Question Answering System

📄 Description:
This is a Document Question Answering (Doc-QA) system built with Python and Streamlit. Users can upload a PDF, and ask questions related to the document content. The system searches the document and provides the most relevant answers.

Features:

  • Upload PDF documents.
  • Ask questions related to the PDF content.
  • Returns relevant passages with confidence score.
  • Friendly message if no answer is found.
  • Built using streamlit, sentence-transformers, PyTorch, and PyPDF2.

🚀 Try the App Online:
Test the Document Question Answering system here: Open Doc-QA App

⚠️ Note: Accuracy varies. In some cases, the answers are fairly accurate (50–60%), while in others, they may be less reliable. This is a demo version for testing and exploring functionality.

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This is a Document Question Answering (Doc-QA) system built with Python and Streamlit. Users can upload a PDF, and ask questions related to the document content. The system searches the document and provides the most relevant answers.

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