Published Paper Details:

Music and movies play a fundamental role in shaping and elevating one's emotional state, serving as powerful sources of entertainment and inspiration. Recent research highlights the profound impact of music and movies on human emotions and cognitive activity. In the contemporary digital landscape, characterized by an abundance of content, the demand for personalized recommendations that align with users' emotional states has taken center stage. This research project introduces an innovative recommendation system that capitalizes on facial expressions to deliver real-time, customized movie and music suggestions through emotion analysis. The system employs facial feature detection techniques, incorporating both the Haar Cascade algorithm and Convolutional Neural Networks (CNN). The inclusion of an integrated camera for facial expression capture significantly reduces the system's cost compared to alternative methods By fusing emotions with cutting-edge technology, this system holds the potential to revolutionize the entertainment experience by aligning content with human emotions. It has the capacity to transform how individuals discover and engage with digital entertainment, offering a more immersive and emotionally satisfying journey.