This application leverages the power of Artificial Intelligence and Machine Learning, using Python and Flask. Its primary purpose is to predict music genres that resonate with users' age and gender, offering a personalized music genre discovery journey like never before.
- Advanced AI and ML models for accurate genre predictions.
- Sleek and user-friendly web interface for easy interaction.
- Provides age and gender specific music genre recommendations.
Welcome to AI ML MUSIC GENRE PREDICTION WEB APP. This guide will help you get started with the project and provide you with the necessary information to begin using or contributing to it.
- Flask
v2.3.2 - Python
v3.11.3 - Pandas
v2.0.2 - scikit-learn
v1.2.2 - joblib
v1.2.0 - Bootstrap
v5.3.0
Use the package manager pip to install Flask or Python library.
-
Flask
pip install flask
-
Python
pip install pandas
pip install scikit-learn
pip install joblib
-
Run the below command to start this project
flask run --reload
-
Enter the below URL in the browser
http://127.0.0.1:5000
- Flask
pip show flask - Python
python --version - Pandas
pip show pandas - scikit-learn
pip show scikit-learn - joblib
pip show joblib
- Create a prediction model in Python
- Integrate python model in a web app using Flask
- Unit test with coverage report
We welcome contributions from the community! If you'd like to contribute to [Project Name], please follow these steps:
- Fork the repository.
- Create a new branch:
git checkout -b feature/your-feature-name - Make your changes and commit them:
git commit -m "Add your commit message here" - Push your changes to your forked repository:
git push origin feature/your-feature-name - Open a pull request on the main repository.
- We'll review your contribution and merge it if it meets the project's guidelines and standards.
I hope that you will find AI ML MUSIC GENRE PREDICTION WEB APP project useful and enjoy using it! Thank you for your interest and contributions.