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 child survival risk analysis using Bayesian statistics. By employing transparent and interpretable Bayesian methods, we aim to provide not just insights but a clear understanding of the factors influencing child survival. Our mission is to harness the power of data science, XAI, and social change to drive informed decisions and combat child mortality.
For those eager to explore the CIAO BAYESIAN results and insights, you can access them conveniently through our user-friendly FLOWER Dashboard.
Stay tuned as we embark on this journey at the intersection of data-driven discovery and transparent AI solutions, working to save young lives and create a better future for all.