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Emo-Player

Emotion Based Personalized Media Recommendation System

This application is media recommendation system which analyses once emotions and using facial expressions with the help of AI and recommends the media playlist according to the user’s mood. It is an smart alternative for manually searching for particular media.

Project Objectives

-To provide an interface between the music system.

-To provide a very good entertainment for the users.

-To implement the ideas of machine learning.

-To provide a new age platform for music lovers.

-To bridge gap between growing technologies and music techniques., age.

-Response to the request.

Design Phase

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Methodology

-Training Phase

-Execution Phase

Training Phase:

-Gathering data
-Preparing that data
-Building the model
-Training -Validating

Execution Phase:

-Input Image -Face Detection -Prediction

Main Page:

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After Submitting the emotion detected

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Add a media to your playlist

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Suggest a media

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