Announcing the Release of DHS-To-Database-dhs2CSVTables-simplified! We are excited to announce the release of our new project: DHS-To-Database-dhs2CSVTables-simplified! This open-source tool is designed to simplify the…
NIGATWA1087: A WebApp boilerplate framework Excited news from the kofiyatech team! We are thrilled to announce the official launch of NIGATWA1087, a powerful web application…
Building on the success of KILIMA TULIP AI, we are excited to introduce our latest initiative. This project, rooted in Explainable AI (XAI), focuses on…
Welcome to the FLOWER Dashboard, your gateway to exploring child survival risk insights powered by the KILIMA TULIP AI model. With the FLOWER Dashboard, you…
Welcome to KILIMA TULIP AI, a project dedicated to predicting under-five (U5) child survival risk in Africa using Deep Learning AI techniques. As part of…
Welcome to DEEP MINTILO AI, a project dedicated to predicting under-five (U5) child survival risk in Ethiopia using Deep Learning AI techniques. This project is…
An open source project that utilizes classical survival analysis methods in R, including Kaplan-Meier and Cox regression techniques. Its primary objective is to enable researchers…
An open source project dedicated to utilizing Python and machine learning techniques to provide insights for policy makers in eradicating child mortality. By analyzing data…
The DHS AI platform provides a user-friendly SQLite-based database repository for DHS survey data, facilitating data science projects. Researchers, data analysts, and graduate students can…