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This AI tool app built on Streamlit library provides a powerful and user-friendly tool through web interface for accessing key information from healthcare-related academic literature. Its natural language processing capabilities and intuitive user interface make it an essential AI tool for anyone working in the healthcare industry.

License: MIT License

Python 16.14% Jupyter Notebook 83.86%

airst-research-paper-summarization's Introduction

AIRST 1.0


Welcome to our AI-powered research paper summarization tool!

Get concise and informative summaries of research papers with just a few clicks using our tool! Designed to save you time and effort, it accurately summarizes content-heavy papers and highlights the shortened main points. Say goodbye to lengthy reading and hello to efficient research!

Getting started

Getting started is easy. All you need to do is upload your paper, and our advanced AI algorithm will extract the most important information for you. Our algorithm uses advanced natural language processing techniques to identify the key concepts, ideas, and findings presented in the paper, and condenses them into a succinct and coherent summary presented in text. Plus, you can even get a pptx file with the main points for more effective visualization.

Our tool is user-friendly and accessible to anyone who needs to understand research papers quickly and efficiently. Whether you're a student, researcher, or professional, our tool can help you save time and effort by providing you with a summary of the paper's main ideas and findings.

Versatile tool

Our tool is designed to work with research papers from a variety of fields and disciplines, including but not limited to science, engineering, medicine, social sciences, and humanities. Whether you need to quickly understand the main findings of a paper for your own research or to communicate the highlights of a paper to your colleagues, our tool can help.

Our algorithm is constantly learning and improving, so you can be sure that you're getting the most accurate and up-to-date summary of the paper's main ideas and findings.

Limitations

Please note that while our tool is highly accurate and reliable, it is not intended to replace the need for reading and understanding the full paper (only able to summarize it). Our summarization is meant to provide a quick overview of the main ideas and findings presented in the paper, and should be used as a supplement to your own reading and analysis.

Features

  • Summarizes academic papers
  • Answers health-related questions
  • Upload PDFs
  • Natural language processing techniques
  • Feedback section for improvement

Installation

  1. Clone the repository

    git clone https://github.com/pvhuwung/finalfantasyxv.git
    
  2. Install the required packages

    pip install -r requirements.txt
    
  3. Run the app

    streamlit run AIRST.py
    

After succesfully install the required packages, run streamlit run AIRST.py in your terminal then everything should be working just fine!

We hope you like it!

Usage

  1. Upload a healthcare-related academic paper in PDF format

  2. The app generates a summary of the key findings and conclusions of the paper using natural language processing techniques

  3. Ask a health-related question, and the app will search the uploaded paper for relevant information to generate a concise answer based on the content of the paper

  4. Use the feedback section to provide feedback on the accuracy and relevance of the generated summaries and answers

Contributing

Contributions are welcome! If you find any bugs or have any feature requests, please open an issue or submit a pull request.

License

This project is licensed under the MIT License.

airst-research-paper-summarization's People

Contributors

joulev avatar neverm0r avatar phanhuuan avatar phanng0605 avatar pvhuwung avatar

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