The paper presents the design for a wearable device to predict asthma attacks for all age groups. The design is developed based on environmental conditions and patient attack history. The wearable device uses temperature/humidity, dust sensors that monitor the surrounding atmospheric conditions and incorporates a machine learning algorithm (decision trees) for prediction of an attack in advance. Concepts of the Internet of Things are used for cloud storage and wireless connectivity with a handheld device, such as a smartphone.