create an app.
exercise form tracker (what mistake may i be doing). the scientifically best form. uses camera vision to confirm my form (not used daily, just at the beginning). eg.: angel, range of motion, better variations, rotation, breathing pattern, speed, etc.
And also a diet reminder and suggester (warns what wrong am i might be doing) eg.: i provide what i ate — over time see whats missing, considering every nutrients.
This is an ambitious and genuinely useful app. Before I start building, let me get a few decisions nailed down so I build the right thing.
This is two big features (camera form analysis + diet tracking). How should I approach the first build? Build both, MVP each (Recommended)
Which exercises should the form checker support first? do what's best. also, i guess, one can also provide the exercise name, for easy tracking by the model.
Diet history needs to persist over time. How do you want to store data? If there exists free non-expiring online option available than do that, else local storage for now.
Good — building both as MVPs. For the camera, I'll use on-device pose detection (MediaPipe in the browser) since it's private and gives precise joint angles, ROM, tempo, and symmetry. You'll pick the exercise name from a list so the analyzer knows which cues to check. For storage I'll use localStorage for now (works instantly, no login) and leave a clean path to upgrade to Neon for cross-device sync later.
Let me set up my plan and gather context in parallel.
Design direction is clear: a dark, precise, data-driven "coach" aesthetic with a single energetic accent — like the Vercel observability dashboard but for your body and diet. Let me read the existing scaffold and install the pose-detection library.
Dependencies installed. Let me check the exact installed version so the WASM loader matches, then build the theme and app.
Version 0.10.35 — I'll match the WASM CDN to that. Now let me build the dark, data-driven theme.
Now the shared utilities. First, a localStorage hook for persistence.
Now the pose math and exercise science engine — the core of the form checker.
The analyzer needs to handle both flexion-style reps (squat depth) and extension-style reps (press lockout). Let me add a quality spec to each exercise.
Now the rep-counting state machine and session report generator.
Now the main camera component with MediaPipe pose detection, live skeleton overlay, rep counting, and report generation.
Now the supporting science card and report view components.
Now the bottom navigation and the form page route.
Form tracker is complete. Let me move on to the diet tracker.
Now the nutrition science layer — a food database with full nutrient profiles, daily targets, and gap-analysis logic.
Now the diet UI components. Starting with a reusable nutrient progress bar.
Automatically resuming...