studybunny

• 

  Home Page

• 

  Example of Mobile app

• 

  Example of Notes

• 

  Upload Form

Inspiration

Quizlet, Duolingo, Notion

What it does

Use LLM and generative AI to create better notes, recommend study methods and train study methods. What would make us stand out is the ability to process key information, regurgitate it into an aesthetic and organized format, and then AI will recommend study methods. Afterwards, users can tell our AI how they feel about the recommendations give, and then our model will be trained to start catering recommendations and even notes for the users.

In the future, users would be able to upgrade their account, comparing their newly generated notes with the generated notes of others, accumulating a wider and proper range of notes, cross checked with potential academic partners and resources.

How we built it

HTML, CSS, Javascript

Challenges we ran into

Failed at creating back end implementation using Microsoft Azure Text Analytic's and Otterbox, which would handle identifying key words, phrasings, and would rephrase them accordingly.

Accomplishments that we're proud of

Making it look neat, come to life, visually appealing, and team organization

What we learned

How to work as a team, HTML and CSS, how to manage our time better for the next event

What's next for studybunny

Develop a back end using APIs, LLMs, Flask. Mobile app creation

Built With

• css
• html
• javascript