Guessfit
An AI-driven training app that turns each athlete's plan into a tight daily loop - schedule, log a set, refuel, then measure progress - all on one thumb.
2022-2023
React Native Developer Intern
- React Native
- TypeScript
- Expo
- Firebase
Tech Stack
Technologies and tools used to bring this project to life.
- React Native
- TypeScript
- Expo
- Firebase
My Role
React Native Developer Intern • A few of the surfaces I shaped on this project
Schedule, execution, and analytics
A daily dashboard with completion %, the AI's set/rep plan, and a progression line chart on the next day - tuned for one-thumb logging during a set, then a quick measurement update to feed next week's plan.
Nutrition prep
Meal prep cards with photos sit next to a calorie dial and macro breakdown so refuel guidance lives in the same loop as the training plan.
Guessfit is an AI-driven fitness and nutrition app that generates personalized workout and meal plans for athletes. I contributed to the React Native client as part of the mobile development team.
My work focused on the daily training experience, including workout execution flows, nutrition tracking, analytics, and progression systems. One challenge was designing interfaces that remained lightweight and usable during active workouts.
Beyond UI development, I implemented analytics and crash-reporting pipelines and added integration testing around authentication flows to improve release stability.