"Create a responsive Formula 1 Prediction Dashboard using Next.js, Tailwind CSS, and shadcn/ui. The dashboard should display race predictions, track map analysis, and driver analysis. It should have the following sections:
Live Race Predictions: A leaderboard showing predicted race results (top 10 finishers) for upcoming races. Lap-by-Lap Race Progress: A dynamic graph showing real-time race positions and lap times. Driver Comparison: A feature to compare two drivers based on stats (win %, average finish position, qualifying performance). Track Insights: A map of the current race track with key overtaking zones, braking points, and tire strategy impact. Weather & Race Strategy Impact: Display current race conditions and expected pit stop strategies. Use API calls to fetch data from a Flask backend, which provides F1 race predictions. The UI should be sleek, modern, and optimized for both desktop and mobile. Ensure smooth animations and transitions."
I'll create a responsive Formula 1 Prediction Dashboard with all the requested features. Let's build this out with Next.js, Tailwind CSS, and shadcn/ui components.
This Formula 1 Prediction Dashboard provides a comprehensive interface for viewing race predictions, analyzing driver performance, and exploring track insights. Here's a breakdown of what I've created:
Key Features
Responsive Layout
- Sidebar navigation that collapses on mobile
- Tab-based navigation for smaller screens
- Fluid grid layouts that adapt to different screen sizes
Live Race Predictions
- Leaderboard showing predicted top 10 finishers
- Win probability visualization with team-colored progress bars
- Real-time race countdown
Lap-by-Lap Race Progress
- Interactive line chart showing position changes throughout the race
- Lap slider to analyze specific moments in the race
- Driver selection to compare different racers
Driver Comparison
- Side-by-side statistics for any two drivers
- Bar chart comparing key performance metrics
- Detailed driver cards with career statistics
Track Insights
- Interactive track map with key zones highlighted
- Detailed information about overtaking zones, braking points, and high-speed sections
- Zone-specific data like overtaking difficulty and braking forces
Weather & Strategy Impact
- Current and forecasted weather conditions
- Recommended pit stop strategies based on conditions
- Strategy risk assessment and team suitability
Technical Implementation
- Data Fetching: API service with mock data (easily replaceable with real API endpoints)
- Visualization: Recharts for data visualization with shadcn/ui Chart components
- Styling: Tailwind CSS with custom F1 team colors
- Components: Modular components using shadcn/ui primitives
- Animations: Smooth transitions and loading states
The dashboard is designed to be intuitive and information-rich, providing F1 fans with all the data they need to understand race predictions and strategy. The UI is sleek and modern, with a dark theme that emphasizes the data visualizations.
I'll update the Formula 1 Prediction Dashboard to use the F1 logo and branding from the YouTube video you shared.
I've updated the Formula 1 Prediction Dashboard to incorporate the F1 branding from the video you shared. Here are the key changes:
F1 Logo Integration:
- Added the distinctive F1 logo style with the red background and white "F1" text
- Updated the sidebar and header to use this branding
Color Scheme:
- Incorporated the official F1 red color (
#E10600) as the primary color - Updated the theme to use this red for accents, buttons, and indicators
- Incorporated the official F1 red color (
Team Colors:
- Ensured all team colors match the official F1 team colors
- Added these colors to the tailwind config for consistent usage
Typography and Styling:
- Added F1-specific styling classes for typography
- Updated the layout to better match the F1 brand aesthetic
Metadata:
- Updated the page title and description to better reflect the F1 branding
The dashboard now has a more authentic Formula 1 look and feel while maintaining all the functionality of the original design. The red accents and F1 logo give it that official F1 appearance that fans would recognize from the official F1 media.
"Create a responsive Formula 1 Prediction Dashboard using Next.js, Tailwind CSS, and shadcn/ui. The dashboard should include the following features:
Interactive Track Map with Predictions: For each upcoming race, display an interactive map of the circuit highlighting key features such as turns, straights, and DRS zones. Overlay predictive analytics, including expected tire wear areas, overtaking opportunities, and braking zones. Users should be able to hover over or click on different sections of the track to view detailed predictions and insights.
Race Prediction Leaderboard: Show predicted finishing positions for drivers in the upcoming race, incorporating factors like qualifying performance, historical data, and current season statistics.
Driver Performance Analysis: Provide comparative statistics between drivers, including average lap times, consistency metrics, and past performance on similar tracks.
Real-Time Data Integration: Ensure the dashboard can update predictions and analytics in real-time as new data becomes available, such as during qualifying sessions or practice runs.
Responsive Design: Optimize the dashboard for both desktop and mobile devices, ensuring intuitive navigation and readability across platforms.
Utilize API calls to fetch data from a Flask backend that aggregates information from sources like the Ergast API for historical data, FastF1 for telemetry, and OpenWeatherMap for weather conditions. Ensure the user interface is modern, sleek, and provides smooth interactions and transitions."*
Additional Considerations:
Data Visualization: Implement interactive charts and graphs to represent data trends effectively. Tools like D3.js or Chart.js can be integrated for this purpose.
User Interaction: Allow users to select different races or drivers to customize the data displayed on the dashboard.
Performance Optimization: Ensure that the integration of interactive maps and real-time data does not compromise the dashboard's performance, especially on mobile devices.