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Abumuktar/Green-Child

Domain:

healthcareclimate

Record type:

software
Creator:
Abu
Host:
AI-powered community health surveillance platform that turns mothers into a distributed early warning network for climate-driven malaria outbreaks in Nigeria. # 🌿 GreenChild > *"When communities speak, children live."* GreenChild is an open-source, AI-powered community health surveillance platform that predicts malaria outbreaks 7–14 days before they hit clinics β€” by collecting daily symptom reports from mothers via WhatsApp and USSD, fusing them with hyperlocal climate data, and alerting health workers to act before children die. ## 🚨 The Problem Nigeria accounts for 30.3% of all global malaria deaths β€” 95,000 children under five die every year. Climate change is expanding mosquito breeding zones, extending transmission seasons, and pushing malaria into new communities. Yet no system captures the earliest signal: mothers noticing their children are sick 7 to 14 days before any clinic does. ## πŸ’‘ The Innovation GreenChild turns every mother with a basic phone into a climate-health sensor. When multiple mothers in the same ward report fever on the same day β€” combined with NASA satellite rainfall and temperature data β€” the AI detects an outbreak forming and alerts the nearest health worker days before it explodes. This is not top-down prediction. This is community intelligence flowing upward for the first time. ## πŸ› οΈ How It Works 1. **Mother Reports** β€” Daily WhatsApp/USSD check-in 2. **AI Detects** β€” Fuses symptom clusters + NASA climate data 3. **Alert Fires** β€” Health worker gets precise ward alert 4. **UNICEF Sees** β€” Live national risk dashboard updates ## πŸ‘₯ Who Uses It - **Mothers** β€” Report child symptoms in 10 seconds - **Health Workers** β€” Receive early outbreak alerts - **UNICEF/Government** β€” View live national health map ## 🌍 Impact - Works on basic phones β€” no internet, no app required - Supports Hausa, Yoruba, and Igbo - Generates real-time child health data at household level - Deployable across 18+ West African countries - Pilot targets 10,000 mothers across 5 LGAs in Katsina and Kano ## 🧰 Tech Stack - **Frontend** β€” Next.js, React, TypeScript - **Backend** β€” Python, FastAPI - **AI Engine** β€” S …

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