This project provides an AI-powered web application for summarizing academic papers from arXiv, featuring a virtual assistant for querying paper content. It targets researchers and students seeking quick comprehension of complex research papers.

How It Works

The application leverages state-of-the-art natural language processing techniques to generate paper summaries. A virtual assistant, trained on the paper's content and metadata, allows users to ask questions and receive contextually relevant answers.

Quick Start & Requirements

• Install via pip3 install -r requirements.txt and run with python3 manage.py runserver.
• Requires Python 3.6 or later.
• Access the application at http://127.0.0.1:8000/.

Highlighted Details

• AI-powered summarization of arXiv papers.
• Virtual assistant for Q&A on paper content.
• User-friendly interface with search and navigation.
• Supports multiple languages.

Maintenance & Community

Developed by Quentin Kral. Contact information for questions and suggestions is available.

Licensing & Compatibility

Licensed under the MIT License. This license permits commercial use and integration with closed-source projects.

Limitations & Caveats

The project is a single-developer effort, which may impact long-term maintenance and feature development velocity.