Zynora — AI Fitness App: Onboarding to Recovery by Gülçin GümüşZynora — AI Fitness App: Onboarding to Recovery by Gülçin Gümüş

Zynora — AI Fitness App: Onboarding to Recovery

Gülçin Gümüş

Gülçin Gümüş

🔍 Project Overview
Zynora is an AI-powered fitness companion app designed to help users make smarter training decisions through real-time body signal interpretation. The project covered the full mobile experience: onboarding, workout tracking, recovery monitoring, and personalized AI coaching.
⚡ The Challenge
Fitness apps tend to either oversimplify data (step counts, calories) or overwhelm users with raw metrics they can't act on. Zynora needed to sit in the middle: translate complex biometric signals into clear, actionable guidance that adapts to each user's training state and goals.
🎯 Design Approach
Data made human. Heart rate variability, sleep quality, and muscle recovery scores are presented as simple visual indicators with plain-language recommendations. No medical jargon, no raw numbers without context.
Adaptive coaching interface. The AI coaching layer surfaces contextual suggestions based on the user's current state. Rest day? The app says so and explains why. Ready to push? It adjusts the workout intensity.
Progressive onboarding. New users are guided through goal setting, baseline measurement, and preference configuration in a conversational flow that feels like setup, not a form.
✅ Outcome
A fitness app experience that bridges the gap between raw biometric data and actionable training guidance. The interface makes complex health signals feel approachable while the AI coaching layer keeps recommendations personal and context-aware.
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Posted Apr 2, 2026

Full mobile experience for an AI-powered fitness companion. Designed onboarding, workout tracking, recovery insights, and personalized coaching screens that translate real-time body signals into clear, actionable guidance.