Abstract: A system for facilitating mental health assessment and enhancing mental health via facial recognition and content associated with other physical attributes is provided. In particular, the system receives content associated with physical attribute of a user from at least one sensor and receives self-assessed emotional states from the user. The system extracts features from the content and determines, based on the content and by utilizing artificial intelligence models, predicted emotional states of the user by comparing the features to training information utilized to train the artificial intelligence models. The system proceeds to identify content to deliver to the user and recommend activities for the user to enhance or maintain the self-assessed emotional states, the predicted emotional states, or a combination thereof.

Abstract: A system for conducting mental health assessment and/or evaluation, matching needs, and predicting content and experiences for improving mental health is provided. In particular, the system collects various signals relating to mood, mental health, and/or other characteristics associated with a user. The system labels the signals and/or interactions based on an assessment of how user engagement with specific content should be interpreted. The labeled interactions may be assigned a score value by the system to determine deficits or needs relating to the mental health of the user. Based on the score value and signals, the system determines content, activities, and/or other resources for the user to interact with that may assist in reducing the deficits and improving the user's mental health. The system uses artificial intelligence models to analyze the interactions and signals in real-time and adjusts the recommended content to enhance mental health over time.