Dee-ui/PHC_Data_Project

This project builds an AI-assisted system for strengthening Primary Health Care (PHC) in Africa. The system will predict facility patient surge and risk of medicine stock-out. It'll also include a assistant that can give advice to patients based on their symptoms and include interactive maps, mobile prototype and a dashboard for decision makers. # 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 Malaria Prevalence - Predicting medicine stock-out risks - A triage assistant for symptom inputs - Interactive maps and mobile prototype - Dashboard for decision makers --- ## 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 ## Backend API See backend/README.md for running, endpoints, and examples. ## 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 Development 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 `Data Scientist, Geospatial Data Analysis and Health Surveillance Expert` :- Muhammed Tahir Muhammed (Contributor) - Special thanks to the `DataFestAfricaTema` for providing the inspiration for this project.