MUSIC RECOMMENDATION BASED ON FACIAL EXPRESSION BY USING DEEP LEARNING
International Research Journal of Modernization in Engineering Technology and Science · 2023
We propose a new approach for playing music automatically using facial emotion.Most of the existing approaches involve playing music manually, using wearable computing devices, or classifying based on audio features.Instead, we propose to change the manual sorting and playing.We have used a Convolutional Neural Network for emotion detection.For music recommendations, Deep Learning & Streamlit are used.Our proposed system tends to reduce the computational time involved in obtaining the results and the overall cost of the designed system, thereby increasing the system's overall accuracy.Testing of the system is done on the Required data.Facial expressions are captured using an inbuilt camera.Feature extraction is performed on input face images to detect emotions such as happy, angry, sad, surprise, and neutral.Automatically music playlist is generated by identifying the current emotion of the user.It yields better performance in terms of computational time, as compared to the algorithm in the existing literature.An Application Which Detects our emotions at real time using webcam feed and smarty classifies.Will Further Move to Streamlit Web App(Web Page).The output will be displayed both audio and video in youtube website.