Chronic Kidney Disease (CKD) is a significant health issue in Lagos, Nigeria, with poverty-stricken areas facing higher prevalence and limited access to diagnostic tools. The AI model was trained using a dataset from Lagos, Nigeria, incorporating demographic and clinical data relevant to CKD diagnosis. This AI framework demonstrates promise for enhancing CKD detection in resource-limited settings, potentially reducing the disease's impact on vulnerable populations. Further validation and broader implementation are recommended to ensure reliability before widespread adoption. AI, Chronic Kidney Disease, Precision Medicine, Early Detection, Nigeria