Using Face Expression Detection, Provide Music Recommendations

Abstract

Abstract: In the modern day, human feeling is extremely important. Human sentiments, which can be expressed or not, are the foundation of emotion. Emotion represents a person's unique behaviour, which may take many shapes. Extraction of emotion reveals a person's unique condition of behaviour. The goal of this research is to extract facial features, identify emotions, and play music in accordance with those emotions. The alternative algorithms employed are typically sluggish, less precise, and even call for extra gear such EEG or physiologic sensors. However, many of the current methods for suggesting music rely on historical data, and they utilise this data to make their recommendations. Face expressions are recorded using a local recording tool or an internal camera. Here, an algorithm is used to identify a feature in the collected image. The suggested technology will therefore play music selected depending on the facial muscles that was collected