Alexithymia is a trait that reflects a person’s difficulty in recognizing and expressing their emotions, which has been associated with various forms of mental illness. Identifying alexithymia can have therapeutic, preventive, and diagnostic benefits. However, there has been limited research on proposing predictive models for alexithymia, and literature on multimodal approaches is almost non-existent. Using machine learning tools can greatly enhance both.