A bilingual English/Swahili diabetes education assistant that explains symptoms, types of diabetes, prevention, blood sugar management, nutrition, exercise, medication/insulin basics, and daily care. It provides clear educational guidance with follow-up buttons and reminds users to consult a healthcare professional for personal diagnosis or treatment. Built as a demo for the UX IPPHL accelerator.

AI-powered global health intelligence agent for Geneva secure web-portal and national/regional mobile alert use. Synthesizes real-time public health information from an embedded 200+ source registry and live web-search/fetch tools, separates confirmed official updates from early signals, and provides validation and coordination actions.

A Bot to assist Pharmacy technicians with practical steps to prevent and respond to essential drugs and commodities stock-outs in apex PHCs in Kano, Nigeria

This is Gooey.AI's starter template, meant to help users build their first workflows in the global health domain

Bulk evaluation page for comparing the original Malawi QI Assistant against the GPT 5.2 duplicate using golden Q&A tests. Evaluation focuses on DHIS2 evidence use, IHI change concepts, WHO indicator-gap guidance, JICA 5S-KAIZEN separation, coaching/mentorship quality, data-quality caution, WhatsApp usability, and off-topic scope guard behavior.

An AI-powered WhatsApp and web QI learning, coaching, and mentorship assistant for Malawi. It uses DHIS2 QI Tracker data as the primary evidence source to identify successful change ideas, lessons, reporting gaps, QI capability needs, and practical coaching plans. It uses IHI Model for Improvement guidance for DHIS2-style QI coaching, PDSA testing, and explicit change concepts; WHO Quality of Care and measurement guidance for indicator design and indicator-gap coaching; and keeps JICA 5S-KAIZEN guidance separate for standalone 5S/KAIZEN workplace improvement support.