🧠 AI Note Summarizer

AI Note Summarizer is a Streamlit web application that leverages state-of-the-art NLP models to summarize lecture notes and generate interactive quizzes from the summarized content. Perfect for students, educators, and lifelong learners.

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✨ Features

• 📄 Upload lecture notes in PDF or TXT format
• 🧠 Summarize content using HuggingFace Transformers (T5 model)
• 📝 Generate quiz questions from the summary
• 🎯 Interactive interface using Streamlit
• 🔐 Lightweight and runs on free-tier cloud hosting (like Streamlit Community Cloud)

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🚀 Live Demo

🟢 Launch on Streamlit

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📥 Installation

git clone https://github.com/iamaindrik/AI_NoteSummarizer.git
cd AI_NoteSummarizer
pip install -r requirements.txt
streamlit run classnote.py

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📦 Requirements

Your requirements.txt should look like:

streamlit
transformers
torch
PyPDF2

Make sure to use Python 3.8–3.11 for best compatibility.

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🧪 How It Works

1. Upload Notes: Accepts .pdf or .txt files.
2. Extract & Summarize: Uses PyPDF2 to extract text and transformers to summarize.
3. Generate Quiz: Automatically creates fill-in-the-blank style questions with multiple options.

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🖼️ Screenshot

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📌 To-Do / Future Plans

• Add support for handwritten or image-based notes (OCR)
• Enable exporting summaries and quizzes
• User authentication for saving history

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🤝 Contributing

Pull requests are welcome! For major changes, please open an issue first.

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📄 License

MIT License. See LICENSE for more details.

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🙌 Credits

• Developed by Aindrik Sarkar
• NLP Model powered by 🤗 HuggingFace Transformers