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Using advanced natural language processing, this tool provides context-aware answers that reference specific document locations, facilitating efficient information retrieval.\n\n## Features\n- Upload PDF files for analysis.\n- Extract text and metadata from PDFs.\n- Search through content using NLP models for specific information.\n- Interactive chat interface for querying document content.\n- References provided for answers indicating PDF, page, and line.\n\n## Technologies Used\n- Flask\n- PyPDF2\n- Sentence Transformers\n- Google's Gemini API\n\n## Setup and Installation\n1. Ensure you have Python installed on your machine.\n2. Install necessary Python packages:\n   ```bash\n   pip install flask requests PyPDF2 sentence-transformers\n\n## Clone the repository:\ngit clone \u003crepository-url\u003e\ncd PDF-AI-Assistant\n\n## Run the application:\npython app.py\n\n## Usage:\nNavigate to http://localhost:5000/ on your web browser.\nUse the interface to upload PDF files and enter queries to receive answers based on the content.\n\n## Contributing:\nContributions are welcome! For major changes, please open an issue first to discuss what you would like to change.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsameer051022%2Fpdf-ai-assisstant","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsameer051022%2Fpdf-ai-assisstant","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsameer051022%2Fpdf-ai-assisstant/lists"}