An ML application that generates a unique soundtrack based on a book’s title and genre An ML

Designed and created an application that generates a soundtrack based on a book title using OpenCV, Sonic Pi, OpenAI, and Python

Spotif(AI) emerged as a collaborative project during the Fall of 2023 within Shirley Leung’s Materiality of Machine Learning course at Parsons.

Implemented through a Python virtual environment on the terminal, Spotif(AI) leverages OpenCV to recognize the title of a book. The identified title is then processed through a sequence of function calls to the OpenAI API, yielding outputs such as a book genre, a music genre (which is mapped to our own assumptions), and a Sonic Pi (Ruby) code snippet. This code snippet can be conveniently copied onto the Sonic IDE player, allowing users to enjoy the generated song.

“A Thousand Splendid Suns” Demo

Jane Eyre” Demo