Abstract: Systems and methods for assessing mental health of a person, including: recording digital activity data of the user on the mobile device, wherein the digital activity data does not include personal content of the user, applying the digital activity data to a plurality of machine learning models, wherein each of the machine learning models represents a digital phenotype for a different mental health condition, determining a similarity score for each mental health condition corresponding to each of the plurality of machine learning models based on comparing an output of the respective machine learning model to a digital phenotype for the corresponding mental health condition, outputting, at a user's display, the at least one mental health similarity score, and predicting, by the processor, at least one mental health condition of the user based on the calculated similarity scores.