Jellyfish Notes

Screenshot of app
Working hard or hardly working?
Sippin that joe
KK and his Pepsi
Rough outline

Inspiration

We wanted to make a solution to the problem of students being too lazy to study. With Jellyfish Notes, it takes seconds to come up with AI generated flashcards, ripe and ready to study, based around the inputted notes.

What it does

Jellyfish Notes takes in an input of text, and it's used to call the OpenAI API, which returns a list of terms and definitions crafted from the user's notes. This list is then outputted on the web application in the form of flashcards, where users can "flip" each card to reveal the definition to each term.

How we built it

Javascript to implement the functionality of the app, such as the interactivity of the flashcards and inputs
HTML to structure the layout of the app
CSS for the styling of the app
OpenAI allows for the assembly of each term and their definition

Challenges we ran into

The API call to OpenAI
Formatting the app
Getting the .tsv file upload button to work and translate into a flashcard -Do to the Github repository being public, the API key to OpenAI can't function

Accomplishments that we're proud of

How the idea became a reality
How all our roles were interconnected
Achieving a functional application and the working API call

What we learned

We learned a lot about web development and the different elements that go into it. Along with this, the formatting and styling of a website is something a couple of us had little to no experience in, so we learned a lot about that, on top of how to program the actual functionality and integration of everything.

The GoDaddy website was relatively easy to use in order to choose a name for the application. The ".study" domain seemed perfect for the nature of our project, so we landed upon "easywayto.study", since Jellyfish Notes is so easy to use.