Machine learning project (creative)

This is a creative project, and it should use machine learning and/or data analysis techniques explored in this module. Example project types include: • A new work of music, art, poetry, etc. • A new digital musical instrument • A new interactive game (e.g., employing embodied interaction, or using machine learning on data from the player or world to influence gameplay) • A new piece of software capable of generating new musical or artistic content (autonomously or with human involvement) You are welcome but not required to use Wekinator in your final project (preferred). You are welcome but not required to use other third-party software tools (e.g., ML5js, RAPIDMIX, TensorFlow, scikit-learn, Weka, cloud APIs, code examples you find online, etc.). Marked on: • The technical quality of your implementation. This includes correctness of implementation, appropriateness of technical choices given the project’s creative aims, technical challenge and innovation, etc. • Artistic and creative merit of project, including originality. • Clarity and depth of engagement of project write-up.