Awards & Nominations

TheAISmart has received the following awards and nominations. Way to go!

Global Nominee

YOUR NEW SUMMRAZING INTERN

High-Level Project Summary

[note my team HAS 2 PEOPLE But one of my members have a problem in using this website]Using Transformer pipeline our team made a solution to accurately summarize and extract keywords out of it Using the abstract introduction and summarization of the paper we ran it through the pipelineSource code:https://colab.research.google.com/drive/1sM6LmZPdyKlwDHhgYxe2v0xkiSZlFmOM?usp=sharingDeployment:https://colab.research.google.com/drive/1Wg1Ovl-MzrLLfYukgq5ajVuJ3kjZ3tnm#scrollTo=B0Isy5v9xay7reports of summarization will be on github \\ and source code for streamlit:https://github.com/PluzNtp/NASA_WEB

Detailed Project Description

Using Transformer pipeline our team made a solution to accurately summarize and extract keywords out of CMDS 

by classifying the pdfs to two types:

1)PDF with multiple research papers

2)PDF with One research papers

we then extracted the text out of the pdf

then we cleaned it form any special character : (@\[A-Za-z0-9]+)|([^0-9A-Za-z \t])|(\w+:\/\/\S+)|^rt|http.+?"

then we corrected it using a pretrained model we found

then

By extracting the abstract introduction and summarization of the paper we ran it through the pipeline and extracted the summarization

We also did keyword extraction using a pretrained model we found on hugging face.

for that we use the entire text of the research paper

Space Agency Data

We used CDMS from :https://ntrs.nasa.gov/search?center=CDMS

Hackathon Journey

I learned alot about nlp in general the reason i choosed this challange is because i was interested in machine learning in general and wanted to tackle something resembling it

References

https://docs.streamlit.io/

https://huggingface.co/docs/transformers/main_classes/pipelines

Tags

#software #nlp