arXiv Paper Summarization Website :books::robot:

This is a web application that uses AI to summarize academic papers from arXiv, and provides a virtual assistant :robot: to answer questions about the paper. You can check it live: SummarizePaper.com

Features :sparkles:

• Summarizes arXiv papers using state-of-the-art natural language processing techniques :nerd_face:
• Provides a virtual assistant to answer questions about the paper, based on the paper's content and metadata :robot:
• User-friendly interface with search functionality and easy navigation :computer:
• Supports multiple languages :globe_with_meridians:

Installation :floppy_disk:

To install the django application, you need to have Python 3.6 or later installed on your system.

1. Clone the repository to your local machine.
2. Install the required Python packages by running pip3 install -r requirements.txt.
3. Start the web server by running python3 manage.py runserver.
4. Access the application by visiting http://127.0.0.1:8000/ in your web browser.

Usage :bulb:

To use the application, simply enter a query in the search bar on the homepage, and the system will return a list of relevant papers. Clicking on a paper will take you to a summary page, where you can view the paper summary and ask questions about the paper using the virtual assistant.

Contributors :octocat:

This project was developed by :sparkles: Quentin Kral :sparkles:. If you have any questions or suggestions, please feel free to contact us.

License :page_with_curl:

This project is licensed under the MIT License - see the LICENSE file for details. :clipboard: