Non-communicable diseases, like myocardial infarction, stroke, chronic respiratory diseases, or diabetes, impose a great burden on societies all over the world, causing 71% of all deaths globally. However, these diseases are evitable since risk factors, such as smoking, unhealthy diet, or lack of physical activity, are known and can be avoided. Hence, lifestyle changes play a major role in the prevention and management of non-communicable diseases. (cf. WHO Factsheet on Noncommunicable Diseases) Nowadays, it is possible to collect different types of data from daily life with consumer wearables, like smartwatches or fitness trackers. Based on that, we can give patients feedback on their health status and provide healthcare professionals with insight on the progression of lifestyle interventions, such as changed diet, exercise routines, stress management or even smoking avoidance. (cf. Uni Freiburg: Wearable Smoking Detection, earth.informatik.uni-freiburg.de/research/wearable-smoking-detection) The main objective of our bachelor and master projects is to develop tools for monitoring the health status of a person going through lifestyle interventions. The focus is on accompanying patients at risk of non-communicable diseases. We want to analyse how parameters such as heart rate (HR), heart rate variability (HRV), blood oxygen saturation (SpO2), respiratory rate, sleep quality, and activity levels change when patients go through interventions. The goal is to build a pipeline to collect and analyse this data obtained from daily life and to provide information to healthcare professionals, regarding the patients’ adherence to a prescribed intervention.