AI-Generated Choreography - from Solos to Duets


While the fields of technology and dance have historically not often intersected, recent years have seen the advent of AI-generated choreography using models trained on motion capture of a single dancer ( This project will expand the state-of-the-art in this intersectional field by exploring duets featuring pairs of dancers, enabling choreography that features authentic interactions between humans & AI models.


Total project length: 175 hours

Task ideas

Expected results


Participants should be comfortable with standard data science software including Python, Git, Numpy, Matplotlib, and Pandas. Previous experience in Machine Learning, either in TensorFlow or PyTorch, is preferred. While previous experience in dance or the performing arts is not needed, an interest in the artistic and open-ended aesthetic dimensions of the project is required. Strong interpersonal & communication skills are essential.

Project difficulty level



Please use this link to access the test for this project.


Please DO NOT contact mentors directly by email. Instead, please email with Project Title and include your CV and test results. The mentors will then get in touch with you.

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Participating Organizations