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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