GR Command Center

Inspiration

Professional motorsport teams like F1 use sophisticated real-time analytics to make split-second decisions. We wanted to bring that same level of intelligence to Toyota GR Cup Series teams, enabling race engineers to optimize strategy with data-driven insights.

What it does

GR Command Center is a comprehensive race engineering dashboard featuring:

• 13 Real-Time Widgets: Live telemetry, tire degradation, fuel strategy, weather impact, incident detection, and more
• AI-Powered Pit Stop Optimizer: Simulates race scenarios using actual tire wear, lap times, and position data to recommend optimal pit windows
• Predictive Lap Times: Machine learning model forecasts future lap performance based on tire degradation patterns
• Voice Alerts: Audio notifications for critical race events using Web Speech API
• Live Track Map: Real-time car position tracking with sector analysis

How we built it

• Frontend: React 18 with TypeScript for type-safe, component-based architecture
• Visualization: Recharts for interactive charts, custom SVG icons for professional UI
• Styling: Tailwind CSS with Toyota GR-inspired red/black theme
• Machine Learning: ml-regression-simple-linear for predictive lap time modeling
• Data Processing: PapaParse for CSV parsing, real-time simulation engine
• Deployment: Vite build system, Netlify hosting

Challenges we ran into

• Synchronizing multiple real-time data streams (0.1s, 2s, 100s intervals) without performance degradation
• Creating accurate tire degradation models that reflect real-world racing conditions
• Balancing UI information density with usability for high-pressure race environments

Accomplishments that we're proud of

• Built a production-ready dashboard with 15,000+ lines of TypeScript code
• Implemented real data-driven pit stop simulation that calculates optimal strategy based on actual race conditions
• Created 16+ custom SVG icons for a cohesive, professional racing aesthetic
• Achieved sub-100ms update latency for critical telemetry data

What we learned

• Real-time data visualization requires careful state management and render optimization
• Racing strategy involves complex trade-offs between tire wear, fuel load, and track position
• Professional motorsport tools need to present complex data in instantly digestible formats

What's next for GR Command Center

• Integration with live timing feeds from actual GR Cup events
• Multi-car monitoring for full field analysis
• Historical race data comparison and trend analysis
• Mobile companion app for pit crew coordination

Built With

• lucide-icons
• ml-regression
• netlify
• papaparse
• react
• recharts
• tailwind-css
• typescript
• vite
• web-speech-api