Spindra

Inspiration

Traditional tennis coaching is expensive and requires scheduling court time with an instructor. Many aspiring players struggle to improve their technique without proper feedback. We wanted to democratize tennis training by creating an AI-powered coach that fits in your pocket.

What it does

Tennis Coach AI is an iOS app that transforms any space into a tennis training ground. Using computer vision and AR technology, it analyzes your swing in real-time and provides instant feedback. The app features:

• Real-time swing analysis using computer vision to track your racket movement and body position
• AI voice coach powered by LiveKit and Beyond Presence that provides live technique corrections
• Interactive challenges to help you progress through different skill levels
• Practice anywhere - no court or instructor required

How we built it

• iOS (Swift/SwiftUI) for native mobile experience
• ARKit for augmented reality overlays and spatial tracking
• Core ML & Vision framework for real-time computer vision analysis
• LiveKit for low-latency voice communication
• Beyond Presence AI for natural language coaching feedback
• Custom ML models trained on professional tennis swings

Challenges we ran into

• Achieving real-time performance for swing analysis on mobile devices
• Training accurate ML models to recognize proper tennis form from various angles
• Synchronizing AR overlays with fast racket movements
• Creating natural, helpful voice feedback that doesn't interrupt practice flow

Accomplishments that we're proud of

• Built a fully functional AI coach that provides genuinely helpful feedback
• Achieved smooth real-time tracking even with rapid movements
• Created an intuitive UX that makes advanced technology feel simple
• Made tennis training accessible to anyone with an iPhone

What we learned

• Advanced techniques for optimizing ML models for mobile devices
• How to design conversational AI that feels natural and supportive
• The complexity of real-time motion analysis and feedback systems
• User experience design for AR applications

What's next

• Expanding to more sports (badminton, squash, pickleball)
• Adding multiplayer features for remote coaching sessions
• Integration with wearables for more detailed biomechanics
• Building a community platform for sharing progress and challenges ```

Built with

iOS, Swift, SwiftUI, ARKit, Core ML, Vision Framework, LiveKit, Beyond Presence AI, Computer Vision, Machine Learning, Augmented Reality

Built With

• arkit
• augmented
• beyond-presence-ai
• computer-vision
• core-ml
• ios
• livekit
• machine-learning
• swift
• swiftui
• vision-framework