Chinelonweke/Nigeria-PHC-AI-Assistant

# Nigerian PHC AI Assistant - Complete Project Documentation ## Applied AI Development Report **Project Name:** AI-Powered Healthcare Assistant for Nigerian Primary Healthcare Centers **Developer:** Chinelo **Date Started:** October 9, 2025 **Current Status:** Core Services Completed (Day 1) **Timeline:** 3-Day Development Sprint --- ## Table of Contents 1. Executive Summary 2. Project Background 3. Technology Stack 4. Project Structure 5. Development Journey 6. Challenges and Solutions 7. Components Built 8. Testing Results 9. What's Working 10. Next Steps --- ## 1. Executive Summary This document chronicles the development of an AI-powered healthcare assistant for Nigerian Primary Healthcare Centers (PHCs). The project was initially conceived as a full-stack machine learning and applied AI solution. However, due to time constraints and team structure, **the project was split into two parallel tracks:** - **Machine Learning Team:** Developing the stockout prediction model (Random Forest) - **Applied AI Team (You):** Building the intelligent application layer, API, and deployment infrastructure This report documents the Applied AI development from Day 1, including all technical decisions, challenges encountered, and solutions implemented. --- ## 2. Project Background ### 2.1 Problem Statement Nigerian Primary Healthcare Centers face several critical challenges: - **Manual patient triage** leading to delays - **Medicine stockouts** due to poor inventory management - **Language barriers** (5+ languages: English, Pidgin, Hausa, Yoruba, Igbo) - **Limited access** to diagnostic tools - **No real-time monitoring** of healthcare operations ### 2.2 Solution Overview An AI-powered system that provides: 1. **Intelligent Patient Triage** - Symptom analysis using Groq LLM 2. **Inventory Management** - ML-based stockout prediction 3. **Multilingual Support** - Voice and text in 5 languages 4. **Real-time Monitoring** - Dashboard for system health 5. **Chat Memory** - …