How often does it occur that we find ourselves with an urgent need to look up something on the web for a reference to some article, to clear a doubt encountered while working on an assignment, etc and we are ambushed by these long cumbersome articles that may or may not contain the piece of information that we are probing for.

What it does

TextSummarizer is a tool that encounters this problem and helps us to gather relevant and contextual information from the websites that we are looking at, for the information that we are looking for.

How we built it

We built our project on NLP using the LexRank algorithm and formed eigenvectors using similarity matrix on Lemmatized words of the sentences and deployed using Flask on a WebApp

Challenges we ran into

Deployment on web app hosting platforms like Heroku, AWS etc

Accomplishments that we're proud of

Great Accuracy, Responsive web app

What we learned

NLP, Responsive web design

What's next for Text Summarizer

Deploying on a Webapp Hosting Platform

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