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Emzykings/ai4phc-north-nigeria

Domain:

healthcarenatural language processing

Record type:

project
Creator:
Emz
Host:
PHC_Data_Engineering_Pipeline # ai4phc-north-nigeria PHC_Data_Engineering_Pipeline # πŸ₯ **AI4PHC – Smarter Primary Health Care for Northern Nigeria** **Strengthening Maternal, Child, and Public Health through Data and AI** --- ## πŸ“˜ Overview The **AI for Smarter Primary Health Care (AI4PHC)** initiative is a flagship Federal Government project designed to enhance **maternal and child health outcomes** and improve **disease outbreak preparedness** in **Northern Nigeria** through artificial intelligence and data-driven innovation. This project integrates **data engineering**, **machine learning**, and **human-centred design** to build an intelligent PHC support system β€” starting with a **prototype deployment at a Primary Health Centre (PHC) in Kano Municipal**, before scaling nationwide. --- ## 🎯 Project Objectives - Strengthen PHC service delivery using **AI-assisted analytics and dashboards**. - Predict and mitigate **maternal, neonatal, and under-5 mortality** through data science. - Forecast **medical and vaccine inventory levels** to prevent stockouts. - Improve accessibility for **remote settlements** through appointment clustering and transport scheduling. - Bridge literacy and language barriers using a **Hausa-language AI chatbot – Dr. Amina**, capable of both text and voice interaction. - Automate appointment reminders through **SMS + voice Hausa messages**. - Provide policymakers with **real-time insights** for evidence-based interventions. --- ## 🧠 Key Components ### **1. Data Engineering** - **PostgreSQL + PostGIS** database architecture. - Automated **ETL pipelines** for patient, visit, immunization, and inventory data. - Integration of **simulated and real PHC datasets (2022–2025)**. - Built-in **database triggers** for stock updates and geographic distance calculations. --- ### **2. Data Science & Analytics** **Forecasting models for:** - Disease outbreaks β€” *Malaria, Cholera, Meningitis*. - Stock-out risk prediction. - Maternal and child mortality trends. - Predictive cl …

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