Smartwatches and wearable devices offer significant benefits for protecting military personnel from biological and chemical warfare risks. The University of South Australia, in collaboration with the Department of Defence and the University of Adelaide, is leading an innovative project that leverages artificial intelligence to enhance these devices. By continuously monitoring vital signs and detecting early signs of infection, this project aims to advance the field. The research team is developing statistical machine-learning algorithms to identify early indications of infection using data from consumer wearables. Unlike traditional diagnostic methods that are costly and time-consuming, wearable devices monitor vital signs such as heart rate, skin temperature, and sleep patterns, which undergo rapid changes during infection. Wearable devices have the potential to detect physiological and behavioural changes at an earlier stage, providing valuable insights before symptoms manifest. Equipped with advanced sensors, consumer wearables enable the collection of extensive datasets at a minimal cost, making them ideal for early detection of infections. The project utilises recorded data from wearables to identify molecular and cellular changes associated with pathogen exposure, even before active infection occurs. An integrated cloud service and smartphone application will connect with wearables, employing advanced algorithms to detect irregular sensor readings and categorise individuals based on their health profiles. By developing advanced algorithms and utilising continuous monitoring capabilities, this groundbreaking project aims to detect early signs of infection, providing valuable insights and timely warnings. The research holds great promise for safeguarding defence personnel from biological and chemical warfare threats, utilising artificial intelligence and the human body as a sensor.