ihumaunkabir / eMGC-a-music-genre-classification-app

A simplest web implementation of music genre classification

eMGC- A Music Genre Classification Application

A project based on convolutional neural network to classify music genre. This project is a part of Neural Network Technology.

Features

• Music Genre classification based on an uploaded audio file.
• Faster and accurate genre with 92+ percentage accuracy.

Getting Started

Prerequisites

• Python 3.7.11
• Flask 2.1.2
• Tensorflow 2.9.1
• And recisely follow the requirements.txt

Installation

1. Clone the repo

git clone https://github.com/ihumaunkabir/eMGC-a-music-genre-classification-app.git

2. Go to project directory and run -

python3 app.py

Test the App

In your browser, hit

http://127.0.0.1:5000/

Screenshots

Screenshots can be found in the images/ directory of the repo.

Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.

1. Fork the Project
2. Open a Pull Request

License

Distributed under the MIT License.