PHC_Data_Project

PHC-AI Datathon Project

Description
Welcome to the Primary Health Care for Africa AI Datathon project 🤖🤖🤖 This project builds an AI-assisted system for strengthening Primary Health Care (PHC) in. Africa. The system will support:

• Predicting facility patient surge
• Predicting medicine stock-out risks
• A triage assistant for symptom inputs
• Interactive maps and mobile prototype
• Dashboard for decision makers

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Team

The team for this project is the Data Sages for Africa Team which is a team of seasoned Data Experts coming together to drive impact and achieve set goals.

Project Structure

• /data
• /raw ← raw downloaded datasets
• /processed ← cleaned, merged, transformed data
• /backend ← backend API code (FastAPI, models, inference)
• /frontend ← web dashboard (React)
• /mobile ← mobile prototype (React Native / Expo)
• /docs ← design docs, architecture, user stories
• /slides ← final slides, demo script
• README.md ← this file

Data Sources

• National Health Facility Registry (clinics list)
• Population raster (WorldPop)
• Historic visit counts / facility reports
• (Optional) Stock / supply data

About the Data

License

This project is subject under the MIT License

Contacts and Acknowledgments

Data Science and AI Expert :- Agbonoga Dauda (Project Technical Lead)

Team members

• 1 Data Engineer and Analyst :- Emmanuel Bolaji(Contributor)

• 2 Data Scientist and Software Engineer :- Phenny Mwaisaka (Contributor)

• 3

• Special thanks to the DataFestAfricaTema for providing the inspiration for this project.