Chronic Respiratory Diseases (CRDs) affects an estimate of over a quarter of the Australian population. CRDs can be present in variations across all age groups such as asthma, allergies, hayfever, and Chronic Obstructive Pulmonary Disease (COPD). These variations are attributable to factors including air quality, weather changes, patient health condition, patient lifestyle, and patient self-prevention and self-protection measures. A hospital in a NSW rural health district wanted a solution to analyse patient data to identify patients at-risk of developing CRDs and help doctors distinguish the factors related to respiratory issues. Development of CRDs in returning patients is a pre-existing problem that doctors struggle to predict, and results in a less efficient use of money and resources. The solution developed by our data superstars would assist doctors to identify patients at-risk of developing a CRDs and the factors that catalyse these.