Music Recommender

This project is a music recommender system leveraging machine learning, specifically the decision tree algorithm. The algorithm exhibits a 75% accuracy rate in recommending music genres based on user age. Users can input their age, and the system provides personalized music genre recommendations, making it an engaging tool for discovering new music preferences.