Disease Prevention System

Overview

The Disease Prevention System is a predictive analytics platform that forecasts disease outbreaks by correlating environmental data with health trends. Using machine learning models trained on historical data, it helps healthcare organizations prepare for and prevent disease spread in their communities.

Key Features

• Machine learning models for disease outbreak prediction
• Real-time environmental data integration (weather, humidity, temperature)
• Interactive dashboard for health trend visualization
• Risk assessment scoring for different geographic regions
• Alert system for high-risk outbreak scenarios

Technical Approach

The system uses a combination of FastAPI for the backend API, Scikit-learn for the machine learning models, and a responsive frontend for data visualization. The models were trained on synthetic datasets representing various disease patterns and environmental correlations.