I was inspired to build this project because I was very behind in my classes, with readings piling up as the quarter progressed. Rather than spend my weekend catching up on homework, we built this app, which will hopefully enable me to spend less time doing readings.

What it does

It takes in input of links to readings or articles, and generates a condensed summary (~5 sentences) of each of those readings, to save you time on reading.

How we built it

The app was initially designed in Figma. We used Python to link with the SMMRY API to produce summaries, LaTeX to generate pdf study guides, and Flask to enable a web app with Python back end.

Challenges we ran into

We had zero front end experience. While we were naturally guided to using Flask as a solution for our front-end woes, we were logically very confused of how we would be able to tie in our Html front end code to our Python back end code. In the sense, it is great for us to gain experience with using Flask to develop more powerful web apps in the future.

Accomplishments that we're proud of

We're proud of 1) gaining experience designing in Figma, 2) creating the summarization function, and 3) learning how to create a web app using Flask.

What's next for SCNR

We intend on using Spacy for sentiment analysis and keyword detection in the readings as to provided richer study guides.

Domain for entry

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