Flexy

Flexy is a stretching app built for remote workers, offering personalized posture feedback through machine learning and voice-controlled interaction. The app uses the device’s camera to evaluate body positioning and guide users through stretches using real-time correction prompts.

Built as a group project over just three weeks, Flexy was showcased at a live demo in front of Apple and university professionals. While the full functionality couldn’t be implemented in the short timeline, the working prototype clearly demonstrated our concept and interface direction.

My main contributions were in the development and motion media creation — designing and integrating visual assets, animations, and transitions. A central character, a friendly animated monkey, acted as a recurring guide throughout the app, delivering encouragement and personality to the user experience.

From custom monkey pose animations to micro-interactions across the app flow, I created dynamic visual elements that made the app feel energetic, accessible, and engaging — particularly for users who might be intimidated by tech-heavy fitness apps.

🧠 What I Learned

Working on Flexy helped me understand the collaborative link between machine learning functionality and human-centered motion design. I learned how to build media that aligns with user needs, adapts to feedback, and enhances emotional engagement — even in a short, high-pressure sprint. It also gave me firsthand experience creating assets that move in sync with real-time user input and system decisions.