Jofit — ML wellness coach
A fitness & wellness PWA that turns water intake, training load and blood-work into one ranked daily suggestion — each tagged by urgency tier and linked to its source paper.
Most wellness apps hand you a number. Jofit hands you a move.
It pulls together what you've actually done — water logged, kilocalories in and out, training sessions, the last blood panel — and runs each candidate intervention through a small ranker. Three axes only: evidence weight (RCT > cohort > case), personal delta (how far you are from the clinical target), and adherence cost (how much friction the suggestion adds to your day).
The top-scoring nudge surfaces as today's move. Anything in the URGENT tier — a vitamin D in the severe-deficiency band, a sleep debt that's now metabolic — jumps the queue and always shows first, with the source paper one tap away.
The interface is deliberately quiet. Editorial dark, three surface elevations, tabular numerals, and a single lime accent reserved for adherence and confirmation. A five-colour semantic tier palette does the rest. The preview in the labs repo strips out the backend so you can open the whole design system in a browser and read it like a notebook.