{"id":19763011,"url":"https://github.com/rohanag03/pdf-insights","last_synced_at":"2025-07-03T21:37:47.742Z","repository":{"id":240250540,"uuid":"802097749","full_name":"rohanag03/PDF-Insights","owner":"rohanag03","description":"This project uses Google's Generative AI to analyze and answer questions about PDF content. 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It provides a user-friendly interface to upload PDFs and ask questions, receiving insightful answers generated by the Gemini AI model.\n\n## Prerequisites\n\nMake sure you have Python installed on your system. Additionally, install the required dependencies with the following command:\n\n```bash\npip install -r requirements.txt\n```\n\n## Features\n\n- Upload PDF documents for analysis.\n- Ask questions about the uploaded PDF content.\n- Utilize the Gemini AI model to generate answers.\n- Streamlit-based web interface for ease of use.\n\n## How to Use\n\n1. Run the Streamlit app by executing the following command in your terminal:\n```bash\nstreamlit run main.py\n```\n2. Upload a PDF document using the provided file uploader.\n3. Enter your question about the PDF content in the text input field.\n4. View the generated answers based on the PDF content.\n\n## File Structure\n\n- main.py: The main application script for the Streamlit interface.\n- requirements.txt: A list of Python libraries required for the project.\n\n## Usage Notes\n\n- The application requires an API key from Google Generative AI, which should be kept confidential.\n- The PDF content is processed and stored temporarily for analysis.\n\n## Further Development\n\n- Support for Large Documents: Future updates will aim to optimize the processing of large PDF documents to ensure efficient analysis without compromising performance.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frohanag03%2Fpdf-insights","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frohanag03%2Fpdf-insights","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frohanag03%2Fpdf-insights/lists"}