Athletic Recovery How AI Analyses It
The AI behind reading athletic recovery — and why explainability is what makes it trustworthy.

For athletes, hydration and recovery status directly shape performance and injury risk.
What the models do
Models trained on annotated data classify and quantify hydration and concentration after sessions and day-to-day recovery cues, converting raw capture into structured signals. Recovery is measurable through daily physiology, not just how you feel.
Why explainability matters
A score nobody understands is a score nobody acts on. Every insight about athletic recovery pairs with its contributing features, time window and a plain-language rationale.
- Hydration and concentration after sessions
- Day-to-day recovery cues
- Response to training load
“The test you take every day beats the perfect test you take once a year.”
Human in the loop
The aim is not to replace clinical judgement but to feed it better, earlier, more objective data about athletic recovery.

