Inspiration

Computationally intensive careers.

What it does

Displays prediction and user advice based on real time data.

How we built it

Python, Machine Learning with Tensorflow, Javascript, HTML, CSS, reach, Node.js

Challenges we ran into

Data Preprocessing for training.

Accomplishments that we're proud of

Cohesively connecting imperfect data to actionable statements.

What we learned

Learning to apply Calculus to convert data into a useful format, juggling full-stack development in a tight timeline.

What's next for F1 Info

Increase in accuracy, a method to visualize track progression, general design improvements, automatic LLM response based on track stimuli.

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