This study focuses on creating a Mood Capture Music Recommendation System and provides an outline of the most recent multidisciplinary research on emotion detection technology in healthcare. The study emphasizes how important it is for computer science, psychology, neuroscience, and social sciences to collaborate in order to properly comprehend and control users’ moods and emotions. Numerous methods are investigated, such as deep learning, audio feature analysis, face expression analysis, stress and mood surveys, and more. The use of face recognition for mood detection—which powers customized music recommendation systems—is highlighted in particular. The amalgamation of these techniques showcases the possibility of augmenting user welfare via customized music interventions predicated on instantaneous mood evaluation.