SoundSift

2025 · 2025 Competition

School: School of Computer and Information Sciences
Category: Data SciencePrimary

Project Overview

One Liner: An AI-powered tool for extracting and matching similar content by comparing input queries to lyrics for enhanced content discovery

Abstract

Imagine we want to extract all songs if in their lyrics a specific word does exist. However, we only have access to the audio file of the songs, not the lyrics. In this project, users specify a desired word such as “Love” and search domain such as “Youtube”, then the code will return all Youtube links that contain “Love” in the song. This work can be extended to find videos if they contain a desired image or close to a given image.

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Team Members

Joe Selvanandan
Joe Selvanandan
Lead
Bryan Chan
Ben Cohen
Joe Fang
Ryu Morgan
Trung Nguyen
Xingyan Huo

Advisors

Milad Toutounchian
Milad Toutounchian