EMOTION BASED MUSIC PLAYER

To deploy on a local host:

python manage.py runserver

Prerequisites

See requirements.txt. Note that most of it isn't needed to run locally, but for hosting on Heroku.

tensorflow-cpu
opencv-python-headless
imutils==0.5.3
imageio
dj-database-url==0.5.0
Django==3.1.2
gunicorn==20.0.4
psycopg2-binary==2.8.6
whitenoise==5.2.0
python=3.8.6

Demonstration

Build with

• HTML/CSS & TailwindCSS- Frontend styling and web page design & CSS Framework for desiging.
• Javascript - Frontend music player functions
• Django - Backend integration of machine learning algorithms
• OpenCV - Computer vision tasks
• Tensorflow - to provides a comprehensive set of tools for building and training machine learning models.
• Jupyternotebook & Google Colab - Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations, and narrative text. & Google Colab is a cloud-based development environment that allows you to write and run Python code in your browser.

Datasets

The dataset was initially retrieved from Kaggle from a research prediction competiton titled "Challenges in Representation Learning: Facial Expression Recognition Challenge.

Training Results

Final Accuracy = 58.33%, Validation Accuracy = 54.99%

Overview of Project

Authors

• Ananda https://github.com/anandacdr

License

This project is licensed under the MIT License - see the LICENSE file for details.