👨‍🎓
Somesh Fengade
  • ME
    • 👋About
    • 📚Personal Projects
      • 🌄AI meditations
      • 🤖GPT-Compare
      • 🌙Learning to see in the dark
      • 💸Lending Club analysis
      • ⏬Moodle Downloader
      • 📚Analyzing the complexity of literary passages.
      • 🧪Unit test analysis
      • 🍕Food Vision
      • 📜Skim Lit project
      • 🚋Driver's attention detection
      • ⏳React Countdown Timer app
  • Achievements
    • 🎓Achievements directory
      • 🐣Kaggle Expert (notebook)
      • ❗Amazon Machine learning competition (top 100)
      • 🐶PetFinder.my - Pawpularity Contest ( top 20%)
      • 🐳Happywhale - Whale and Dolphin Identification (top 20%)
      • 🖊️NBME - Score Clinical Patient Notes ( top 50%)
      • 🕸️Tensorflow Barrier Riff challenge(top 42%)
  • Notes and courses
    • 🍂Foundations of LLMs Lesson 1
    • GPT from scratch
    • Introduction to CUDA Python with Numba
      • Custom CUDA kernels in python with Numba
      • Multidimensional grids and shared memory for cuda python with Numba
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Skim Lit project

this project extracts summary from med research papers abstract.

PreviousFood VisionNextDriver's attention detection

Last updated 2 years ago

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:

Libraries used:

  • TensorFlow

  • matplotlib

  • streamlit

  • fastai

Live demo:

for demo clone repo and run 

streamlit run app.py

📚
📜
  • GitHub Link:
  • Libraries used:
  • Live demo:
LogoGitHub - someshfengde/Skim_lit_projectGitHub