I used to refer a lot of documents and I was facing disorganization issue with the documents. then I did some research regarding this issue and findout many of my friends and teachers suffer with same issues. Then I started refering to multiple solution for this problems. And found out this one practical implementation.
What it does
It basically classifies documents into categories.
How we built it
Using React, we have built web-app to provid user interface and collect documents. Then using flask, we have built server to actually use the ML model on data. After it will transfer documents from web-app to server. We will extract features from documents and pass it to ML model and then it will generate category output.
Challenges we ran into
It was really got messy, when we started implementing server. But make it out of it.
Accomplishments that we're proud of
Actually solving this problem 😊.
What we learned
While building a project, we should always consider its scalability in future.
What's next for Document Organizer
We are planning to give new features to document organizer 🤩.
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