Emotion-Aware-Music-Recommendation-System

Recommends music to users based on their current emotion.

Co-Developer: @300-iq

Description

Emotion-aware Music Recommendation System assists in identifying the user's current emotion and suggesting music which is relevant to that emotion. Our technique integrates context and emotion elements and strives to give users a more convenient, intuitive, and pleasurable listening experience.

Usage

# Clone the Repository
git clone https://github.com/ChitturiSaiSuman/Emotion-Aware-Music-Recommendation-System.git

# Navigate into the Directory
cd Emotion-Aware-Music-Recommendation-System/

# Run the Application
streamlit run App.py

Dependencies

To run this application, a Web-browser should have been installed in the machine. Please allow the application to access the Web-Cam to capture faces.
Python3 must be installed.
The following additional packages should also be installed.

# Install Pip - Package installer for Python
sudo apt-get -y install python3-pip

# Install Streamlit
sudo pip3 install streamlit

# Install FER module
sudo pip3 install fer

# Install tensorflow
sudo pip3 install tensorflow

# Install sklearn
sudo pip3 install sklearn

Extension

Interested Users can create a pull-request and extend the project for implementing other features as well.