Predicting Dengue Fever Outbreaks in Sri Lanka
As part of an Omdena AI innovation project, I contributed to an AI-driven system that predicts dengue fever outbreaks in Sri Lanka. Using time-series analysis and machine learning, the system improves early-warning capabilities so public health authorities can respond sooner and allocate resources more efficiently.
Highlights
- Time-series forecasting of dengue cases with Darts and Scikit-learn.
- Model explanations with SHAP to show which factors drive predicted outbreaks.
- Forecasts served through an interactive Streamlit dashboard.
Tech stack: Python · Pandas · Darts · Scikit-learn · SHAP · Streamlit