PDF AI Assistant 📚🤖

🚀 Interact with your PDFs like never before! Extract text, ask intelligent questions, highlight key sections, and generate summaries—all powered by OpenAI GPT-3.5. Seamlessly handle single or multiple PDFs and get instant insights with a user-friendly interface. 📃🌐

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Features

• Text Extraction:

  • Process single or multiple PDFs effortlessly.
  • Extract text from all pages using pdfplumber.

• AI-Powered Interactions:

  • Ask questions about your PDF content and get contextual responses.
  • Summarize PDFs into concise and meaningful insights.

• Highlight Key Sections:

  • Highlight relevant keywords/phrases in the original PDF.
  • Download the highlighted version for quick reference.

• Error Handling:

  • Handles invalid or non-text PDFs gracefully.
  • Provides clear prompts for issues like invalid file types.

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Installation

1. Clone the Repository:

   git clone https://github.com/Aditya7248/PDF_AI_Assistant.git
   cd PDF_AI_Assistant

2. Set Up a Virtual Environment:

   python -m venv venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install Dependencies:

   pip install -r requirements.txt

4. Set Up OpenAI API Key:

   • For security reasons, users must provide their own OpenAI API key.
   • Create a .env file in the root directory.
   • Add your OpenAI API key:

     OPENAI_API_KEY=your_openai_api_key
     

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Usage

1. Run the Application:

   streamlit run main.py

2. Interact with Your PDFs:

   • Upload a PDF file (or multiple files).
   • Ask questions like: "What is this document about?" or "Summarize this PDF."
   • Highlight keywords/phrases and download the annotated PDF.

🎉 Pro Tip: Use the "Summarize" feature to get a quick overview of lengthy documents!

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Example Interaction

Screenshots:

Demo Video:

demo.video2.1.mp4

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License

This project is licensed under the MIT License. See the LICENSE file for details.

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Contributions

Contributions are welcome! Feel free to open issues or submit pull requests.

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Acknowledgements

• OpenAI
• Streamlit
• pdfplumber
• PyMuPDF
• Dotenv

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For questions or support, contact: Aditya Tiwari

• LinkedIn: LinkedIn
• Email: tiwariaditya2707@gmail.com