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Polygence's student projects span across STEM, humanities, and the arts. Final projects include research papers, websites, podcasts, and much more.

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Using Machine Learning to Predict Classical Composers from Audio

Using Machine Learning to Predict Classical Composers from Audio

Nishanth
Nishanth's Project
N
with Nikhil
Harmony in Motion: Discovering the Benefit of Therapeutic Music in Parkinson's Disease Management

Harmony in Motion: Discovering the Benefit of Therapeutic Music in Parkinson's Disease Management

Rohan
Rohan's Project
Ellen
with Ellen
How does listening to different types of music (classical, phonk, and pop music) affect a child's (10-12) visual memory retention.

How does listening to different types of music (classical, phonk, and pop music) affect a child's (10-12) visual memory retention.

Karthikeya
Karthikeya's Project
Chelsea
with Chelsea
Detection of Similar Melodies by Repurposing Algorithms for Sequence Alignment and String Searching

Detection of Similar Melodies by Repurposing Algorithms for Sequence Alignment and String Searching

Vihaan
Vihaan's Project
Peter
with Peter
Starry Night: A Love Song

Starry Night: A Love Song

B
Benjamin's Project
Cody
with Cody
To what extent can machine learning find a suitable musical accompaniment for a given melody?

To what extent can machine learning find a suitable musical accompaniment for a given melody?

Pierre
Pierre's Project
Shomik
with Shomik

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Starry Night: A Love SongTo what extent can machine learning find a suitable musical accompaniment for a given melody?Using Machine Learning to Predict Classical Composers from AudioDetection of Similar Melodies by Repurposing Algorithms for Sequence Alignment and String SearchingHow does listening to different types of music (classical, phonk, and pop music) affect a child's (10-12) visual memory retention.Harmony in Motion: Discovering the Benefit of Therapeutic Music in Parkinson's Disease Management