A example of the frontend

🏁 Concept Overview GridFlow is a real-time race strategy simulator that uses telemetry data, competitor behavior, and environmental conditions to dynamically optimize race decisions like pit stops, tire choices, and overtaking opportunities.

🔧 Core Features

Real-Time Telemetry Integration
Simulate car data: tire wear, fuel levels, engine temperature, lap times.
Feed mock telemetry into the system to mimic live race conditions.
Predictive Strategy Modeling
Use machine learning to forecast race outcomes based on current conditions.
Suggest optimal pit windows, tire compounds, and overtaking strategies.
Competitor Behavior Engine
Model rival drivers’ tendencies (e.g., aggressive overtakes, early pits).
Adjust strategy based on predicted moves of competitors.
Weather & Track Adaptation
Simulate changing weather and track grip levels.
Adapt strategy dynamically (e.g., switch to intermediates before rain hits).
Interactive Race Simulation UI
Visualize race progress with a live leaderboard and track map.
Let users tweak strategies mid-race and see projected outcomes.

🎮 Bonus: Gamify It! Let users play as race strategists:

Compete against AI teams.
Score based on efficiency, position gains, and tire management.
Unlock upgrades like better pit crew or weather radar.

🏎️ F1 Tie-In Ideas

Base AI drivers on real F1 personalities (e.g., Max Verstappen’s aggressive style).
Include iconic tracks like Monaco or Silverstone.
Simulate famous scenarios (e.g., 2021 Abu Dhabi finale) and let users “rewrite history.”