Inspiration

In Formula 1, milliseconds decide victory , and one wrong pit stop can cost everything. Inspired by the precision of Haas F1 and the intelligence of Mphasis, I wanted to explore how AI could think like a race engineer, optimizing race decisions dynamically.

What it does

AIRS (AI Race Strategy Simulator) uses AI-driven simulation to predict and optimize race strategies in real time. It analyzes key parameters like tire degradation, fuel load, and weather to forecast lap performance and recommend the best pit-stop timing and tire choices for the fastest possible race completion. The system runs multiple strategy simulations, similar to how an F1 race engineer would, and identifies the optimal plan that minimizes total race time while adapting to changing conditions.

In short, AIRS acts as a virtual race strategist, combining data science and intelligent decision-making to deliver precision strategy , inspired by Haas F1 and powered by Mphasis.

How we built it

Challenges we ran into

Accomplishments that we're proud of

What we learned

What's next for AIRS - AI Race Strategy Simulator

Built With

  • ai
  • analysis
  • built
  • cloud
  • core
  • dashboard
  • data
  • decision
  • estimation
  • event-based
  • handling
  • interactive
  • language
  • lap
  • lap-time
  • matplotlib
  • modeling
  • mphasis
  • numerical
  • numpy
  • pandas
  • performance
  • plotly
  • predictive
  • python
  • race
  • real-time
  • scalable
  • scikit-learn
  • simpy
  • simulation
  • strategies
  • strategy
  • streamlit
  • systems
  • updates
  • visualization
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