📜Skim Lit project

this project extracts summary from med research papers abstract.

This project was NLP-related. In this, we have used the BERT model to extract embeddings and used compared it with various architectures for getting summary of passages. At the end of our experiments this project is the deployment project for streamlit developed with the help of TensorFlow NLP our model can classify the abstract of research papers into

  • aim / objective

  • background

  • conclusion

  • methods

  • results

GitHub Link:

LogoGitHub - someshfengde/Skim_lit_projectGitHub

Libraries used:

  • TensorFlow

  • matplotlib

  • streamlit

  • fastai

Live demo:

for demo clone repo and run 

streamlit run app.py

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