JJEM: Special Edition 2 (December 2024)
JJEM: Special Edition 2 (December 2024)
2024-12-08
AI based mood refreshment using facial expression.
Preethi T R, Sunitha GP
Musical is the refreshments which plays an important role in our daily life which also has benefits regards to therapy practices helps with patient mental illness. This idea is proposed for playingthe music mechanically using users� current facial emotions. The other present approaches involve playing music manually, based on audio and video features. in place this proposes to replace the manual organization and playing. the technique used is convnet also known as (CNNs)for detecting the emotions. the techniques used for recommending music is deep learning and stream lit. this classification aims to decrease the computational time required to obtain results and reduce the complete cost of design which enhances system accuracy. the testing of this proposed idea is done through the creation of the required data. the inbuilt camera captures the facial emotions of a user. The attribute extraction is done through on various parameters of user�s images like emotions such as happy, angry, sad, surprise, and neutral. through this the music plays automatically and generates which song is suitable for the current emotion of user. This helps in performing better in computational time. This idea makes utilization of a camera's video flow to recognize our feelings in actual time and categorize them correctly. the outcome shall be displayed on the website of youtube in audio in addition to video format.
Facial expression, Convnet, Image Processing, Deep Learning