I Recreated Shazam's Algorithm from Scratch because no one is hiring jnr devs

Video Description

I recreated Shazam's algorithm out of curiosity but mostly out of desperation. In this video, I explain how Shazam works and how I implemented the algorithm in Golang. Source code: https://github.com/cgzirim/seek-tune Demo: https:https://drive.google.com/file/d/1I2esH2U4DtXHsNgYbUi4OL-ukV5i_1PI/view Drop me an email: [email protected] Peek at my thoughts: https://twitter.com/cgzirim Or connect with me: https://www.linkedin.com/in/ichigozirim/ Resources: How Shazam Works - Coding Geek (main resource): https://tinyurl.com/49syjy48 Song Recognition Using Audio Fingerprinting - Rochester: https://tinyurl.com/4wkmc26r How Shazam Works - Toptal: https://tinyurl.com/3u7y5pee Creating Shazam in Java: https://tinyurl.com/3y67bpdk Credit: Couldn’t have done this without these resources—huge thanks to their brilliance. Music credits: https://pixabay.com/music/ http://epidemicsound.com/ Stock footage sources: https://www.storyblocks.com/ https://www.shutterstock.com/ 0:00 - Intro 01:02 - How Shazam's algorithm works 02:59 - Backend tech 03:28 - Transforming raw audio into a fingerprint 03:40 - Function One 05:15 - Function Two 06:34 - Function Three 08:06 - Frontend tech 08:31 - Uploading songs 09:27 - Recognizing songs 11:09 - Displaying matches 11:30 - Demo / Conclusion