AI Billboard Hot 100

This project aimed to generate a complete alternative Billboard Hot 100 chart using AI, mimicking the styles, production techniques, and songwriting patterns of contemporary popular music.

Technical Details

The generation pipeline involved:

1. Trend Analysis: Scraping and analyzing the actual Billboard Hot 100 charts from the past 5 years to identify patterns in genre distribution, tempo, song structure, and lyrical themes

2. Style Modeling: Training genre-specific models on categorized datasets of popular music

3. Chart Simulation: Algorithm to generate a realistic distribution of genres and styles that matches historical Billboard data

4. Complete Song Generation: End-to-end system generating lyrics, melody, arrangement, and production for each track

Each song was generated with accompanying metadata including fictional artist names, record labels, and chart position changes to simulate a real Billboard chart.

Ethical Considerations

The project raised interesting questions about the future of music creation and consumption. We included a detailed ethics section in our documentation, addressing:

• Potential impact on human musicians and the music industry
• Questions of originality and creativity in AI-generated content
• The role of AI as a tool for human creators versus an autonomous creator

We also conducted interviews with music industry professionals to gather diverse perspectives on these issues.