ML-powered Music Recommendation Engine
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Rhythm-Finder is a unsupervised ML driven python powered web-application that can find the songs that suits you. It takes your basic data over music taste and gives you some song which you might like .
This section should list any major frameworks that you built your project using. Leave any add-ons/plugins for the acknowledgements section. Here are a few examples.
This is an example of how you may give instructions on setting up your project locally. To get a local copy up and running follow these simple example steps.
csv
format.This is an example of how to list things you need to use the software and how to install them.
git clone https://github.com/gdscjgec/Rhythm-Finder.git
cd Rhythm-Finder
pip install requirements.txt
cd
command example : cd <FILE_PATH>
streamlit run app.py
Use this space to show useful examples of how a project can be used. Additional screenshots, code examples and demos work well in this space. You may also link to more resources.
For more examples, please refer to the Documentation
See the open issues for a list of proposed features (and known issues).
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
git checkout -b feature/AmazingFeature
)git add .
)git commit -m 'Add some AmazingFeature'
)git push origin feature/AmazingFeature
)Distributed under the MIT License. See LICENSE
for more information.
Mail us at - [email protected]