Spotify ML Analyzer

Description

This application analyzes your Spotify listening history using advanced data science and Machine Learning techniques, providing insights into your music preferences and offering personalized song recommendations. It features a graphical user interface for easy interaction and visualization of your listening habits.

Features

• Upload and analyze your Spotify listening history
• View your top songs, artists, and genres
• Explore your longest and least listened to songs
• Visualize your top artists with an interactive graph
• Get personalized song recommendations

Prerequisites

• Python 3.x
• pip (Python package manager)

Installation

1. Clone the repository.
2. Install the required dependencies: pip install -r requirements.txt

Usage

1. Request your CSV listening history data from Spotify . Ensure this is in the same folder as this project directory. If you don't have it ready but still want to try the app, we provide a sample listening history file in the directory (StreamingHistory0Sample.csv) for you to use.
2. Run the application in terminal: python Final.py
3. Use the GUI to navigate through different features:

• Click "Upload" to input your Spotify listening history CSV file
• Use "Summary" to view various analyses of your listening habits
• Try "Recommend" for personalized song suggestions

Files Needed

Ensure the following files are in your project directory:

• Final.py: Main application file
• dataset.csv: Reference dataset for genre information
• tracks.csv: Large dataset of Spotify tracks for recommendations
• Your Spotify listening history CSV file (e.g., StreamingHistory0.csv)

Technologies Used

• Python
• pandas: For data manipulation and analysis
• cmu_graphics: For creating the graphical user interface
• PIL (Python Imaging Library): For image processing

Notes

• The application uses sample datasets for demonstration. For the most accurate results, ensure you have up-to-date and comprehensive datasets.
• Processing large datasets may take some time, especially for the recommendation features.

Troubleshooting

If you encounter any issues:

• Ensure all required CSV files are in the correct location
• Check that your Spotify listening history CSV is formatted correctly
• Make sure you have installed all required dependencies

Contributing

Contributions to improve the application are welcome.

Acknowledgements

• Spotify for providing user data and API
• Dataset sources:
• Spotify Tracks Dataset
• Spotify Dataset 1921-2020, 600k+ Tracks