Lyme disease is a tick-borne disease whose number of new cases is estimated at more than 50000 per year in men in France. For several years it has provoked many debates, but in particular on the number of real cases, the difficulties of diagnosing late forms of the disease, and the delivery of prolonged antibiotic treatments. However, early forms of the disease, which in the majority of cases are expressed as chronic migrant erythema (EM), are typical forms of infection and are well treated. Ems are characterised by a red patch in the shape of a ring or surrounded by a ring that gradually evolves. A better diagnosis of these early forms would improve the course of the disease by preventing the transition to a complex late form and by prescribing appropriate antibiotic therapy. At the same time, the development of information and communication technologies (mobile phone, application, internet access) has made it possible to capture new types of data and services involving citizens. The aim of the DAPPEM project is to develop an application for automatic analysis of red spot photos to provide a probability vis-à-vis MS. This tool will be aimed at citizens and doctors. Photo analysis data will be used for research and professional and health organisations to optimise care and prevention.