IoT health platform with embedded AI

A connected health platform with embedded AI, designed for patient follow-up in sub-Saharan Africa.

The constraint that shapes every design decision is the same one I meet in agricultural modelling: the data arrives sparse, irregular and interrupted. A monitoring system that assumes continuous measurement is not merely less accurate here — it is unusable. The platform is built around models that degrade gracefully when the input stream breaks, and around a follow-up workflow that fits how care is actually delivered rather than how a dashboard would prefer it to be.

[TO COMPLETE: architecture, sensors used, partner institutions, current deployment stage, and any results so far.]