Chatbot Song Recommender System

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• Create Date 26 March, 2026
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Chatbot Song Recommender System

Prof Rahul Naitam , Akash Dahat, Akshit Patil , Ksitij shanware, Ashish Anasane

DOI : 10.46335/IJIES.2023.8.6.9

Abstract- In this era of technological advancements, music recommendation based on mood is much needed as it will help humans relieve stress and listen to soothing music according to their mood. In this project, we have implemented a chatbot that recommends music as well as movies based on the user's mood. The objective of our application is to identify the mood expressed by the user and once the mood is identified, songs are played by the application or a list of movies are displayed in the form of a website according to the choice made by the user and also his current mood. Our proposed system is implemented as an application which can be run on the user’s desktop and its main focus is to reliably determine the user’s mood. Human computer interaction (HCI) has a lot of importance in today’s world and the most popular concept in HCI is recognition of emotion from facial images. In this process, the frontal view of the facial images is utilized so as to detect the mood from the images. Another important factor is the extraction of facial elements from the user’s face. We have used the Haar Cascade Algorithm for accurately detecting the user’s face in the live webcam feed and the CNN Algorithm is used to detect the emotion being expressed by the user from the facial features. Facial attributes like the arrangement of the mouth and eyes are used in order to detect the mood of the user.