📚 PDF Insight AI

Smart Research Companion powered by OpenAI and Hugging Face — designed to help you interact with your PDFs using AI.

👉 Live Demo: https://pdfinsightai.streamlit.app/

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🚀 Features

• 📄 PDF Text Extraction
• 🧠 Text Summarization (OpenAI/Hugging Face powered)
• ❓ Ask Questions about PDF Content
• 🃏 Flashcard Generation
• 🎯 MCQ-Style Flashcard Creation
• ☁ Deployed on Streamlit Cloud

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🛠 Tech Stack

• Frontend: Streamlit
• LLMs: OpenAI GPT-3.5 / Hugging Face (Falcon, T5, etc.)
• Vector Store: FAISS
• Text Processing: LangChain, PyMuPDF
• Deployment: Streamlit Cloud

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📌 How It Works

1. Upload a PDF.
2. Text is extracted and chunked using LangChain.
3. Vector embeddings are created using OpenAI or Hugging Face models.
4. You can:
   • Ask questions from the PDF (Vector Search)
   • Generate a summary of the content
   • Create flashcards or MCQs automatically

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⚙ Setup Locally

Clone the repository

git clone https://github.com/abhinavdev369/pdf_insight_ai.git
cd pdf_insight_ai
pip install -r requirements.txt
OPENAI_API_KEY = "your-openai-key"
HUGGINGFACEHUB_API_TOKEN = "your-huggingfacehub-key"
streamlit run app.py