The vision behind SoLiVE is to help people become happier and healthier. SoLiVE intends to promote a better understanding of physiological and psychological processes that determine individual wellbeing, as well as provide automated coaching through simple instructions. The tool takes into account any data available gathered through personal health monitors, loosely coupled devices (mobile phones, etc.) as well as generally available environmental data (weather, seasons, location, etc.) and tries to statistically associate this to the subjective wellbeing rating provided by the individual. Through machine learning of the statistics patterns, individual suggestions are made to the individual, if a close enough match is found between the calculated wellbeing estimation and personal wellbeing rating. The principle of operation, user benefit and user interface of the system should be easy enough to understand for 80% of users without reading any additional material while the gathered data should be minimal but sufficient to calculate an index that correlates with the self-rating of the user’s wellbeing.