Platform converting live climate, air-quality and disease-surveillance data into multilingual child-health advisories in English, Twi, Hausa and Ga. Shortlisted to apply for a USD 100,000 grant.
Climate risk reaches children through air quality and disease before it reaches them through anything else, and the data for both already exists — just not in a form a school or a parent can act on.
ClimaSchool AI converts live climate, air-quality and disease-surveillance feeds into child-health advisories, published in English, Twi, Hausa and Ga. The multilingual requirement is structural rather than cosmetic: an advisory that arrives only in English reaches the wrong half of the affected population.
The platform has been shortlisted to apply for a USD 100,000 grant.
