Automated Music Genre Classification and Trend Analysis

Create a comprehensive music analysis pipeline using librosa, pandas, and TensorFlow that automatically classifies music genres and tracks emerging trends. Develop deep learning models capable of extracting complex audio features, with a minimum classification accuracy of 92%. Implement a real-time trend tracking system that can identify emerging subgenres and predict potential mainstream crossover potential. The system should provide detailed visualizations and generate automated reports for music industry professionals.