Facial Recognition and Mood Detection and Recommend Songs
Archit Sharma, Harsh Bansal, Aditya Joshi, Preet Arnav Singh
Facial recognition, mood detection, artificial intelligence, personalized experience, music streaming services, emotional state, physiological cues, accuracy, potential risks, ethical implications, CNN (Convolutional Neural Network),ANN(Artificial Neural Network),Grayscale.
When faced with a large selection of music, it can be challenging for individuals to decide what to listen to. Fortunately, there are various recommendation systems that can help users find what they're looking for. With this music recommendation system we aim to provide users with options that match their preferences. By analyzing a user's facial expression and emotions, we can gain a better understanding of their current mental and emotional state. This information can be leveraged to offer music recommendations that are tailored to each individual's preferences.
Article Details
Unique Paper ID: 160178

Publication Volume & Issue: Volume 10, Issue 1

Page(s): 1308 - 1313
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