Algorithmic MIDI Sequencer using PlugData and Logic Pro

The objective of this project was to design an algorithmic music generation system using PlugData, integrated with Logic Pro. The system generates melodic material in real time while allowing user control over key musical parameters such as tempo (BPM), tonal center (key), scale type (major or minor), and note density. These controls were implemented to ensure that while the output is generated through algorithmic processes, it remains musically structured and adaptable to different compositional contexts.

The motivation for this project was to explore how randomness, when constrained by musical rules, can produce coherent and expressive musical output. Rather than treating randomness as purely chaotic, the project investigates its use as a creative compositional tool that can assist in generating musical ideas. This approach is particularly relevant in the context of digital music production, where generative systems can function as creative partners rather than static tools.

This interest was informed by my own experience using Logic Pro for music production and songwriting, where melodic ideas are often developed through iterative experimentation. By implementing PlugData as a generative environment, the goal was to move beyond manually programmed sequences and instead create a system capable of continuously producing evolving musical material. This allows for an exploratory workflow in which the system can generate motifs, variations, and rhythmic patterns that can then be refined or recorded within Logic Pro.

Overall, the aim was not to replace traditional composition, but to augment it by building a system that supports spontaneous idea generation and encourages new forms of musical interaction between algorithmic processes and user control.