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YOLO model identifying players in a color coded manner and seeing their statistics and making bets on their performance.
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Inspiration
Sports fans shouldn't need five different apps to watch a game, understand what's happening, discuss plays, and compete with friends. The average fan juggles ESPN for stats, Twitter for reactions, betting apps for wagers, and Discord for community. This creates a fragmented, exhausting experience that strips away the joy of watching sports together.
JackSport collapses the entire sports experience into a single, synchronized platform. We're building the infrastructure for how the next generation experiences live sports: data-rich, socially interactive, and intelligently gamified.
What it does
JackSport is a real-time sports intelligence layer that transforms passive viewing into an interactive experience:
Live Player Tracking: Click any player during the live stream and instantly see performance metrics, stats, and AI-generated betting insights overlaid on the video.
AI Sports Advisor: Context-aware analysis powered by Gemini that understands game situations, not just generic statistics. Get real-time explanations about plays, strategies, and player performance.
Social Watch Parties: Join synchronized chat rooms, participate in live polls, and compete with friends through Cedar OS WebSocket infrastructure.
Responsible Betting: Beyond basic wallet functionality, our spending analyzer tracks betting patterns in real-time. It calculates betting frequency, total exposure, and win/loss ratios to trigger intelligent nudges when approaching risky thresholds.
Analytics Dashboard: Export complete betting history as CSV, visualize performance trends, and compete on community leaderboards.
How we built it
Computer Vision Pipeline: Implemented YOLOv8 for player detection on live game footage. When users click a detected player, the system surfaces performance stats and betting insights alongside the video stream.
AI Integration: Connected Gemini Pro API with custom prompts that analyze player stats, historical performance, and current game situations to provide actionable betting intelligence.
Real-Time Backend: Leveraged Cedar OS WebSocket architecture for live chat, polls, and watch parties. The challenge was coordinating computer vision events, AI responses, betting transactions, and social interactions across multiple concurrent users.
Fintech Layer: Integrated Nessie API for wallet management and built a spending analytics engine on top. Users receive data-backed responsible gambling warnings and can export complete betting analytics for financial transparency.
Frontend: React for component architecture with Tailwind CSS for styling. Used vanilla JavaScript for data visualization to keep the interface responsive and mobile-friendly.
What's next for JackSport
Multi-Sport Expansion: NFL is just the beginning. Basketball, soccer, baseball, every sport with video feeds.
Predictive AI: Personalized game predictions based on user betting history and viewing preferences.
Enhanced Social Features: Co-watching rooms, shareable highlight reels, and social sharing of micro-bet results.
Advanced Computer Vision: More sophisticated player tracking and automatic play recognition.
Optimization: Faster AI processing and smoother real-time interactions across the platform.
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