AIoT Driven Ecosystem for Mood Detection and Music Intervention

Mood is a prevailing emotional state that remains consistent over time and throughout many settings, reflecting an individual’s overall well-being and outlook. Precisely identifying mood is essential for enhancing human-machine interaction, since it allows for tailored recommendations and a deeper understanding of psychology. Artificial intelligence greatly enhances the accurate detection of mood by evaluating facial expressions and other physiological indicators. Although AI can accurately identify mood, it is as important to control and handle these emotions. Music possesses a formidable capability to manipulate and regulate emotions once it is acknowledged. This study presents a streamlined AI-powered approach for identifying and influencing moods by leveraging music. Furthermore, a camera linked to Internet of Things (IoT) device is incorporated into the cloud-based framework to recognize emotions and provide responses in the form of music. Ecosystem evaluation is performed by utilizing numerous factors.