Reduce Injury with AI

AI-powered form analyzer for weightlifting

Role: Product Designer (Concept Project)
Scope: Research, UI design, Branding, UX flow, Wireframes, Prototyping
Timeline: 2 months

Two iPhone screens of the Lift Right app: a posture analysis diagram showing skeletal tracking points, and a Proper Form Stronger Lifts onboarding screen with a Get Started button

Overview:
Help lifters avoid injury and maximize gains through AI form feedback and integrations for personal trainers. Research identified a general distrust for AI, so the trainer integration was going to be crucial.
Survey Results:

88%
prefer to workout alone
53%
have never had a personal trainer
Lift Right scan in progress, showing a man performing a squat with orange skeletal tracking lines overlaid on his body

Initial Wireframe Explorations

Lift Right onboarding exploration: a fitness level selection screenLift Right onboarding exploration: a sign-up screen in dark mode

evaluation questions to gauge user level and needs

progress button inactive until selection is made

dark mode is a better brand fit

Lift Right onboarding exploration: a fitness level selection screen

evaluation questions to gauge user level and needs

progress button inactive until selection is made

Lift Right onboarding exploration: a sign-up screen in dark mode

dark mode is a better brand fit

Developed branding, product map, and various data visualization layouts to determine what will be different from regular health trackers. Then began asking what lifters truly need and want to know. Is it rep max, count, the visual breakdown of their movement, an option to chat with a pro?

I am returning to this project in Fall 2026, bringing my updated Claude and MCP knowledge to better document the full design system and explore building with code.

Final Designs

Lift Right scan in progress showing live form tracking on a squat