arXiv Paper Summarization Website 📚🤖
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 ✨
- Summarizes arXiv papers using state-of-the-art natural language processing techniques 🤓
- Provides a virtual assistant to answer questions about the paper, based on the paper's content and metadata 🤖
- User-friendly interface with search functionality and easy navigation 💻
- Supports multiple languages 🌐
Installation 💾
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.
Usage 💡
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 
This project was developed by ✨ Quentin Kral ✨. If you have any questions or suggestions, please feel free to contact us.
License 📃
This project is licensed under the MIT License - see the LICENSE file for details. 📋