🤖 SummarizerAgent

SummarizerAgent is an AI-powered research assistant that reads, understands, and summarizes academic PDFs. It also supports an interactive Q&A experience where you can ask questions about the paper as if you're chatting with someone who already read it deeply.

Built with LangChain, OpenAI, and Streamlit, this project brings smart document understanding to your fingertips.

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🧠 Key Features

• 📄 Upload any research paper (PDF)
• 📝 Get an automatic summary
• 💬 Ask follow-up questions via chat
• 🔍 Retrieves accurate context from the paper using embeddings

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⚙️ Tech Stack

• LangChain: Agent logic, chains, retrieval
• OpenAI: GPT-3.5 / GPT-4 (LLM + Embeddings)
• FAISS: Vector similarity search
• Streamlit: Chat-style frontend
• PyMuPDF / LangChain PDFLoader: PDF parsing

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📂 Folder Structure

SummarizerAgent/
│
├── README.md                  # Project overview
├── requirements.txt           # All required Python packages
├── .env.example               # Sample env file for OpenAI key
│
├── app/
│   ├── app.py                 # Main Streamlit app (chat interface)
│   ├── qa_summarizer.py       # LangChain logic (summary + Q&A)
│   ├── utils.py               # Helper functions: chunking, file handling
│   └── __init__.py
│
├── papers/                    # Uploaded papers
│   └── sample_paper.pdf
│
├── outputs/                   # Auto-generated summary & chat history
│   ├── summary.txt
│   └── chat_log.txt
│
└── assets/                    # Screenshots or logos for the README/UI
    └── demo.png

📄 License

This project is for Learning Purpose only

👤 Author

Yash Deshpande
📧 yashdd10@gmail.com
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