| Issue |
ITM Web Conf.
Volume 56, 2023
First International Conference on Data Science and Advanced Computing (ICDSAC 2023)
|
|
|---|---|---|
| Article Number | 01004 | |
| Number of page(s) | 14 | |
| Section | Computational Intelligence and Computing | |
| DOI | https://doi.org/10.1051/itmconf/20235601004 | |
| Published online | 09 August 2023 | |
An Improved Music Recommendation System for Facial Recognition and Mood Detection
Rajalakshmi Institute of Technology, Chennai, India
* Corresponding author: shakthisri.s.2019.cse@ritchennai.edu.in
A user can choose the song using a number of strategies. This system finds the user’s mood and recommends music in accordance with that mood. The main objective is to accurately assess the user’s mood in a friendly way. Listeners are introduced to a machine learning application that plays song based on the user’s mood. Finding the user’s expression using Artificial Neural Network model, which expresses their emotions, can help with this. Compared to speaking, facial expressions reveal a lot more about a person. Users are finding it challenging to select the song that they want to listen to due to the daily increase in the number of songs being created. In order to address, our recommendation system gives users a selection of songs that are automatically added to their customized playlist based on the user’s mood.
© The Authors, published by EDP Sciences, 2023
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