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๐Ÿ“š Research paper summarization tool powered by Groq LLM. Turn academic papers into quick, insightful summaries with streamlined Streamlit interface. ๐Ÿš€

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๐Ÿ“š Paper Pitstop

Your Academic Pit Crew for Research Papers

Research papers zooming through a pit stop

Because reading research papers shouldn't feel like a marathon ๐Ÿƒโ€โ™‚๏ธ๐Ÿ’จ

๐ŸŽฏ What is Paper Pitstop?

Paper Pitstop is your high-speed research companion that turns dense academic papers into digestible summaries. Like a Formula 1 pit crew, we get you back on the research track in record time!

โœจ Features

  • Quick Summarization ๐Ÿƒโ€โ™‚๏ธ: Transform lengthy papers into concise summaries in seconds
  • Key Insights Extraction ๐Ÿ”‘: Pull out the most important findings and contributions
  • Method Breakdown ๐Ÿ› : Simplify complex methodologies into understandable steps
  • Future Work Highlights ๐Ÿ”ฎ: Identify potential research directions
  • Smart Citations ๐Ÿ“: Extract relevant citations for further reading

๐Ÿš€ Tech Stack

  • Frontend: Streamlit (Because who doesn't love quick and beautiful UIs?)
  • Backend: Groq (The speed demon of LLM inference)
  • Language: Python (The trusty old friend)

๐Ÿ Getting Started

# Clone this bad boy
git clone https://github.com/yourusername/paper-pitstop.git

# Install dependencies
pip install -r requirements.txt

# Set your Groq API key
export GROQ_API_KEY='your-api-key'

# Fire it up!
streamlit run app.py

๐Ÿ’ซ How It Works

  1. Upload your research paper (PDF format)
  2. Wait for our pit crew (Groq) to work their magic
  3. Receive your tuned-up summary
  4. Zoom back to your research with new insights!

๐ŸŽ๏ธ Performance

Our pit crew is FAST:

  • Average processing time: ~30 seconds
  • Supported paper length: Up to 30 pages
  • Summary reduction: ~80%

๐Ÿ›‘ Limitations

  • Currently only supports English language papers
  • PDF format only
  • May struggle with heavily mathematical content
  • Not recommended for papers about slow loris behavior (they're too slow for us! ๐Ÿฆฅ)

๐Ÿ“ License

MIT License - Because sharing is caring!

๐Ÿ™ Acknowledgments

  • The amazing Groq team for their lightning-fast inference
  • Streamlit for making our UI look like it's from the future
  • Coffee โ˜•, lots and lots of coffee

Racing Victory

Made with ๐Ÿ’œ by researchers, for researchers

Remember: Time you enjoy wasting reading papers is not wasted time... but we can make it faster!

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๐Ÿ“š Research paper summarization tool powered by Groq LLM. Turn academic papers into quick, insightful summaries with streamlined Streamlit interface. ๐Ÿš€

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