Music Recommendation System 🎶

Overview

This project is a music recommendation system using machine learning. It recommends similar songs based on user input. Users can easily enter a song in the Flask web app and receive personalized recommendations.

Tech Stack

• Python: For data processing (pandas, scikit-learn)
• Flask: Web framework for user interface
• CountVectorizer: Converts song features into vectors
• Cosine Similarity: Finds and recommends similar songs

Features

• Data Cleaning: Removes duplicates and missing values.
• Tag-Based Matching: Uses a combination of artists, genres, and ratings for recommendations.
• Web Interface: Flask-based form where users input a song name.

Usage

1. Clone the repository.
2. Install libraries: pip install -r requirements.txt
3. Run app.py and access at http://127.0.0.1:5000.

License

This project is licensed under the MIT License.