Abstract: Due to the fact that it contains vital information about human emotional states, facial expression is a powerful means for humans to communicate. It is a vital component of computing systems that are competent at identifying human emotions and responding to them more appropriately. However, the challenge of automatically recognizing various facial expressions makes the automated recognition of facial expressions a significant issue in human-system interactions, human emotion appraisal, and decision making. Facial expression detection has therefore become a hot area for research in the domains of image processing, pattern recognition, machine learning, and human reputation in addition to human-computer interaction. With the help of the HAAR CASCADES set of rules and the Support Vector Machine set of rules, we may use techniques in this mission to robotically identify face features and categories emotions. Using a K-Nearest Neighbor technique, provide a playlist of songs that are suited for his current state of mind. You may include a glance at photo of an expression you want to be recognized while trying out a feature. This look-at image may be compared to face database files to play music based on identified emotions. Finally, a player with an advanced recognition rate that is fully emotion-based is offered.

| DOI: 10.17148/IARJSET.2024.115114