Inspiration
We wanted to make daily workouts feel as exciting as playing a game. Traditional fitness apps often become repetitive and fail to keep users motivated. The idea of combining space missions with exercise came from our frustration with that - we wanted to turn every rep into an adventure.
What it does
Zero-G transforms ordinary workouts into immersive space missions aboard a virtual Mothership.
- 🎙️ AI Voice Coach: real-time guidance during every rep
- 📸 Camera Vision: form check and automatic rep counting
- 🤖 AI Missions: fresh daily storylines generated by AI
- 🛰️ Spaceship Repair: every day, each workout fixes critical systems
- 🎮 G-Points: earn rewards, keep streaks, and climb the ranks
- 🌌 Talk to Mothership: chat or ask anything to the AI captain
- 🕹️ Challenge Mode: multiplayer duels with other astronauts
- 🌍 Drift Mode: warm-up exercises with gyroscope & accelerometer
- 🔔 Daily Reminders: smart notifications to keep you on track
How we built it
- Frontend: Swift (iOS), SwiftUI
- Backend: Supabase + RevenueCat + OneSignal for subscriptions, progress sync, and notifications
- AI: Apple Vision models for form detection & rep counting, OpenAI for daily mission content, ElevenLabs for immersive AI voice
- Design: Figma for UI, space-inspired assets, and animations
Challenges we ran into
- Achieving accurate body tracking using only camera hardware
- Generating daily missions that feel meaningful, not repetitive
- Designing gyroscope-based warm-up exercises that are fun and reliable
- Building multiplayer challenge logic with fair scoring
- Navigating App Store review rules for subscriptions & privacy compliance
Accomplishments that we’re proud of
- Built a fully functional AI personal coach correcting form in real time while staying in character
- Added Talk to Mothership, giving users an AI companion beyond workouts
- Designed Challenge Mode to bring friendly rivalry into fitness
- Delivered AI-generated daily missions to keep long-term engagement high
- Successfully integrated subscriptions + payments through RevenueCat & Apple sandbox testing
- Created Drift Mode as an innovative warm-up system using gyroscope data
What we learned
- How to balance gamification with serious fitness benefits
- Ways to optimize Apple Vision for real-time performance without draining battery
- Best practices for writing AI-generated storylines tied directly to exercises
- That AI companions can become more than coaches - they can be motivators, friends, and mentors
What’s next for Zero-G App
- Multiplayer co-op missions: repair the Mothership together with friends
- New mission types with expanded storylines & difficulty scaling
- Wearable integration (Apple Watch) for deeper biometric feedback
- Family Mode: group training sessions with shared progress
- Community-driven seasonal challenges
- Focus Mode: To solve the doomscrolling problem
- Body Composition analysis based on Camera input (muscle and fat)
- Food Calorie Estimator
- Even more user insights and stats
Built With
- adobe
- coreml
- cursor
- elevenlabs
- figma
- github
- onesignal
- openai
- revenuecat
- supabase
- swift
- swiftui
- testflight
- vision
- xcode





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