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mykiie85/Malaria_Drug_Resistance_Prediction_Platform

Domain:

healthcare

Record type:

softwareproject
Creator:
myk
Host:
Malaria Drug Resistance Intelligence Platform - Real-time surveillance & ML prediction of antimalarial drug resistance across 19 African countries. Tracks 15 molecular markers, forecasts trends (84% accuracy), and provides actionable reports for health authorities. FastAPI + React + PostgreSQL. Built for public health decision-making. # 🦟 Malaria Drug Resistance Intelligence Platform A comprehensive surveillance and ML-powered prediction platform for monitoring antimalarial drug resistance across Sub-Saharan Africa. ## 🎯 Features - **Real-time Surveillance Dashboard** - Interactive GIS map with resistance data across 10+ African countries - **ML Prediction Engine** - Individual treatment failure risk assessment using ensemble models - **Molecular Marker Tracking** - Monitor Pfkelch13, Pfcrt, Pfmdr1, and other validated resistance markers - **Regional Analytics** - Comparative analysis across East, West, Central, and Southern Africa - **REST API** - Full-featured API with Swagger documentation ## 🚀 Quick Start ### Using Docker (Recommended) ```bash # Clone the repository git clone github.com cd malaria-resistance-platform # Start all services docker compose up # Access the application # Frontend: localhost # API Docs: localhost ``` ### Manual Setup #### Backend ```bash cd backend python -m venv venv source venv/bin/activate # Windows: venv\Scripts\activate pip install -r requirements.txt uvicorn app.main:app --reload ``` #### Frontend ```bash cd frontend npm install npm run dev ``` ## 📡 API Endpoints | Endpoint | Method | Description | |----------|--------|-------------| | `/api/v1/health` | GET | Health check | | `/api/v1/reports` | GET | List country reports | | `/api/v1/drugs` | GET | Get drug database | | `/api/v1/markers` | GET | Get molecular markers | | `/api/v1/dashboard/stats` | GET | Dashboard statistics | | `/api/v1/predictions/individual` | POST | ML prediction | ## 🏗️ Tech Stack **Backend:** FastAPI, PostgreSQL/PostGIS, Redis, Scikit-learn, XGBoost **Frontend:** React 19, TypeScript, Vite, Tailwind CSS, shadcn/ui, Leaflet, Recharts ## 📊 Data Sources - WHO Malaria Threats Map - MalariaGEN Molecular Surveillance - Therapeutic Efficacy Studies (TES) ## ⚠️ Disclaimer **This platfor …

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