The system combines clinical data such as IgE levels (an antibody associated with allergic reactions) with environmental factors like pollution, pollen, and living conditions, as well as genetic information. An AI model analyses all these inputs together to understand patterns and identify which factors are most strongly linked to a child’s allergies. By examining feature importance, the model helps explain why the allergy may be developing and highlights the most likely triggers.