Facial Recognition and Mood Detection and Recommend Songs
Author(s):
Archit Sharma, Harsh Bansal, Aditya Joshi, Preet Arnav Singh
Keywords:
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.
Abstract
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
Article Preview & Download


Share This Article

Conference Alert

NCSST-2023

AICTE Sponsored National Conference on Smart Systems and Technologies

Last Date: 25th November 2023

SWEC- Management

LATEST INNOVATION’S AND FUTURE TRENDS IN MANAGEMENT

Last Date: 7th November 2023

Go To Issue



Call For Paper

Volume 10 Issue 1

Last Date for paper submitting for March Issue is 25 June 2023

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews