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Kilimanjaro Sentinel Project

Project type

Machine Learning for Public Health

Date

2023 - 2024

Location

Nairobi, Kenya

Founded and led the development of the Kilimanjaro Sentinel project, an advanced early warning system for disease outbreaks. This machine learning model focuses on analyzing cholera transmission trends using Random Forest, Time Series models, ARIMA, and XGBoost. By integrating historical outbreak data with real-time health information, the project aims to improve model accuracy and predictive capabilities. The initiative is designed to enhance early detection and response to potential disease threats, contributing to more effective public health interventions.
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