Health Panel
An offline-first health tracker that brings daily activity, weekly weight and week/month/year analysis into a single screen. iPhone Health data (steps, distance, active calories, exercise minutes) is pushed automatically through a Shortcuts automation, or read from an Apple Fitness screenshot with on-device OCR. The Android build sends the reminders, runs Google ML Kit text recognition on uploaded screenshots and reads the phone’s own step data through Health Connect.
It computes weight trend (kg/week), body mass index and the estimated time to the target weight; period comparisons align the running week/month/year with the same number of elapsed days in the previous period, so a half-finished week is never compared against a full one. Data is stored locally first and synced across devices when the cloud is connected.
Built with: JavaScript (ES modules), Capacitor, Supabase (Postgres + RLS + Storage), Google ML Kit OCR, Apple Shortcuts