Nowadays, mobile technologies and in particular the Internet of Things (IoT), data and machine learning technologies can have a positive impact on the way we manage our health. This paper focuses on Asthma, a condition that affects 10% of Australians. This research collects and analyses data about air quality using New South Wales regional area data and data obtained from our faculty smart building (UTS building 11). Based on a persons location and travel plans, we analyze the Air Quality Index (AQI) and provide a personalized and localized feedback to individuals living with asthma and help them manage their condition better.

Asthma is a chronic disease affecting one in nine Australians. With symptoms such as coughing, wheezing and shortness of breath. asthma can significantly impact a patient's quality of life. Asthma action plans are said to be one of the most effective asthma interventions available. However, in Australia only one in five people aged 15 and over, with asthma, have a written asthma action plan. Even less of which, refer to their plan. A review of related literature and work showed a gap regarding accessibility of information on asthma action plans in a written form. In an attempt to mitigate this problem, this paper focuses on the design and development of a smartphone application. The application is currently a high-fidelity prototype designed and built using proto.io software. In addition to this conversion, the application incorporates aspects of the Internet of Things (IoT) whereby realtime data regarding environmental triggers such as temperature, humidity and pollen in surroundings, can be accessed from the application. The application ultimately aims to help asthmatics improve their health and quality of life by providing them, or their carer with the knowledge needed to better understand and manage their asthma, when and where they need it.