FileU

Store your unorgnized files address and URLs with keyword extracted from NLP.

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Inspiration

The low efficiency happened in manufacturing companies due to massive and unorganized documentation systems. (Good documentation process required). To make the employee access those file more accessible, we came out with this windows application solution.

What it does

Save folder location and URLs along with user-defined/ML keyword extraction tags from files and URLs. The user can quickly access those Folder Address and URLs by searching the related keyword in our application. It is a great solution for searching related files to current task.

How we built it

  • The interface is built using flutter and the NLP keyword extraction built using python.
  • For GUI, we built it with Flutter which is a tool developed by Google for all platform application building. We designed it from 0 and connect with python NLP keyword extraction by reading txt file.
  • For NLP keyword extraction, we use 'spacy' which is an open-source library for python to run NLP model on. We connect batch file and pass current file location to python script then process all pdf/docs files to keyword extraction then output it to an txt file for flutter side to read.

Challenges we ran into

  • In order to let windows correct run context menu python program, we did a lot research online but no useful solution was found. But Bill found a workaround for pass the correct path to python script by using batch files.
  • Connect the flutter with python is a difficult task as well.

Accomplishments that we're proud of

Beautiful and functional interface, and working NLP keyword extraction to txt file for flutter to use.

What we learned

How to add bash script/python script to context menu, and how to use NLP for keyword extraction

What's next for FileU

To let keyword extraction function to go over both URLs and docs or even jpg since a lot of the documentation in industry is still in paper.

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