Inspiration

Helping students have a hub to study effectively

What it does

Gives students multiple study methods and keeps them on task

How we built it

Frontend build using TypeScript and Tailwind with shadcn UI/ Backend built off of node.js & Supabase with python for the facial recognition

Challenges we ran into

Optimizing the facial recognition to detect face + body movements accurately

Accomplishments that we're proud of

Building a full stack application that could be useful to students

What we learned

The entire cycle of planning building testing and deploying apps

What's next for Study Spark

Better facial movement detection More study methods A more comprehensive and dynamic UI Study games

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