Song Recommendation Based on Facial Expression

A user's facial expressions can reveal his or her level of emotion. These be obtained from the system's camera's live feed. In area computer vision (CV) and machine learning (ML), a lot research is being done to train machines recognize different human emotions moods. Machine offers variety methods for detecting emotions. review existing music systems revealed that many applications rely on past listening choices rather than recommending songs based their current The goal this project identify in faces using real-time data suggest according those Music great unifier. It binds us despite our differences ages, backgrounds, languages, interests levels income. Due its accessibility ability used alongside daily activities, travel, sports, other players streaming apps are high demand. Digital has emerged as main form consumer content young people looking because quick growth mobile networks digital multimedia technology. frequently by tool mood control, specifically improve mood, boost energy, soothe tension. Additionally, correct at right moment help with mental wellness. So, feelings closely related. As result, proposed system an interactive platform suggesting depending user’s present emotional state. This also could feature incorporated player applications.