This is a web application that uses AI to summarize academic papers from arXiv, and provides a virtual assistant ๐ค to answer questions about the paper. You can check it live: SummarizePaper.com
- Summarizes arXiv papers using state-of-the-art natural language processing techniques ๐ค
- Provides a virtual assistant to answer questions about the paper, based on the paper's content and metadata ๐ค
- User-friendly interface with search functionality and easy navigation ๐ป
- Supports multiple languages ๐
To install the django application, you need to have Python 3.6 or later installed on your system.
- Clone the repository to your local machine.
- Install the required Python packages by running
pip3 install -r requirements.txt
. - Start the web server by running
python3 manage.py runserver
. - Access the application by visiting
http://127.0.0.1:8000/
in your web browser.
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.
This project was developed by โจ Quentin Kral โจ. If you have any questions or suggestions, please feel free to contact us.
This project is licensed under the MIT License - see the LICENSE file for details. ๐