Contact person: Complete Lovable/Supabase Calorie Tracker

Phone:Show

Email:Show

Location: Bergen, Norway

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"The core screens for my calorie-tracking app are already built with Lovable; now I’m at the point where real data has to flow.
I use Supabase for the backend and Clarifai to recognise food from a photo, but I still need someone to finish the database layer so those image results (plus all user-entered details) persist correctly.

Here’s where your work fits in:

• Build and refine the Supabase schema for meals, foods and daily summaries, including row-level security so each user sees only their own data.
• Wire the Lovable front-end to Supabase queries and mutations that store, retrieve and update entries in real time.
• Take the food name returned by the Clarifai API, match or create the corresponding record in the Supabase table, then return the nutritional breakdown to the UI.

Acceptance criteria
– Selecting or photographing a food triggers Clarifai, receives a confident match, and immediately logs that item in the correct user’s diary.
– Refreshing the diary view re-renders from Supabase (no local fallbacks).
– Creating, editing and deleting an entry reflects instantly in both Supabase and the UI without manual refresh.
– Code is delivered with clear, in-line comments and a brief README on environment variables for Supabase and Clarifai keys.

I’ll provide existing Lovable source, current Supabase project keys and test accounts. Looking forward to getting this shipshape so we can move on to final testing." (client-provided description)