An AI-powered fitness companion that's changed how over a million people approach their health.
Fitness Pro came to us with a vision: a fitness app that actually adapts to you, rather than forcing you to adapt to it. Most fitness apps offer the same generic plans to every user — Fitness Pro wanted to be different, using real AI to tailor every workout and nutrition plan to the individual.
We built the app in Flutter for cross-platform coverage, with TensorFlow powering the personalisation models, and Firebase handling the real-time social features. The result: 1M+ downloads, a 4.9-star rating, and an 85% 30-day retention rate — far above the industry average of 15–25%.
"Every body is different. Fitness advice that works for one person can injure another. We needed the app to actually understand that."
The core challenge was building a personalisation system that could handle thousands of variables — fitness level, injury history, available equipment, time constraints, goals — and produce safe, effective, and genuinely motivating recommendations for each user.
Beyond the ML challenge, we also needed to nail social features: fitness is more sticky when it's shared. But social features in health apps have to be designed carefully to foster encouragement rather than unhealthy comparison.
A TensorFlow model trained on anonymised fitness data that continuously adapts plans based on workout completion, user feedback, and biometric trends from wearable integrations.
A real-time social layer built on Firebase — friends can see each other's streaks, join shared challenges, and send kudos. Designed to encourage without enabling toxic comparison.
Workouts are fully functional without a connection — critical for gym environments with poor signal. Syncs seamlessly in the background when connectivity is restored.
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