Cross-Platform AI Golf Analyzer
Budget: £750 – £1,500 GBP
I want to bring a single, polished app to both iOS and Android that lets golfers record every swing, have it broken down by AI, and then store the results alongside scorecards and playing statistics. A built-in social layer should allow users to share swing clips or stat snapshots straight to friends or social feeds without leaving the app.
Core features I must see working:
• High-quality, frame-by-frame video capture and trimming tailored for golf swings
• On-device or cloud-based AI that automatically detects key swing positions, flags flaws, and returns concise tips
• A personal dashboard that logs scores, fairways hit, putts, and other common stats, updating round-by-round
• One-tap sharing of analysed clips or scoreboard images to the usual social platforms
I’m happy for you to choose the most efficient cross-platform toolkit—Flutter, React Native, Kotlin Multiplatform, or native twins—provided the final builds pass App Store and Google Play submission checks and performance feels smooth on recent devices.
Please include:
1. A brief outline of your preferred tech stack and why it suits real-time video + AI processing.
2. Any prior apps where you handled video analysis, sports tracking, or social sharing.
3. A ballpark timeline to reach a testable MVP and what milestones you’d propose.
Acceptance will be based on: smooth 60 fps capture on modern phones, AI feedback returned in under five seconds on a typical swing, accurate stat logging across at least 18 holes, and friction-free social posting.
If you can deliver an experience that feels as seamless as leading fitness trackers while giving golfers actionable insights, I’m ready to get started.
Core features I must see working:
• High-quality, frame-by-frame video capture and trimming tailored for golf swings
• On-device or cloud-based AI that automatically detects key swing positions, flags flaws, and returns concise tips
• A personal dashboard that logs scores, fairways hit, putts, and other common stats, updating round-by-round
• One-tap sharing of analysed clips or scoreboard images to the usual social platforms
I’m happy for you to choose the most efficient cross-platform toolkit—Flutter, React Native, Kotlin Multiplatform, or native twins—provided the final builds pass App Store and Google Play submission checks and performance feels smooth on recent devices.
Please include:
1. A brief outline of your preferred tech stack and why it suits real-time video + AI processing.
2. Any prior apps where you handled video analysis, sports tracking, or social sharing.
3. A ballpark timeline to reach a testable MVP and what milestones you’d propose.
Acceptance will be based on: smooth 60 fps capture on modern phones, AI feedback returned in under five seconds on a typical swing, accurate stat logging across at least 18 holes, and friction-free social posting.
If you can deliver an experience that feels as seamless as leading fitness trackers while giving golfers actionable insights, I’m ready to get started.
Related categories:
Mobile App Development
iPhone
Android
Unity 3D
React Native
Flutter
AI Model Development
AI Mobile App Development