Our journey began with a simple yet powerful idea: to use the power of technology and data to better understand and support student performance. Using the capabilities of Supabase and the dynamic front-end experiences made possible with Loveable, we’ve developed an algorithm that not only predicts exam outcomes but also provides actionable insights to help students improve their preparation.

With machine learning coded in python and a linear regression model we were able to use an educative database found on kaggle to predict a students future grade and give them tips and tricks on how to improve!

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