How I trained a language detection AI in 20 minutes with a 97% accuracy

This story is a step-by-step guide to how I built a language detection model using machine learning (that ended up being 97% accurate) in under 20 minutes. Language detection is a great use case for machine learning, more specifically, for text classification. Given some text from an e-mail, news article, output of speech-to-text capabilities, or anywhere else, a language detection model will tell you what language it is in. This is a great way to quickly categorize and sort information, and apply additional layers of workflows that are language specific. For example, if you want to apply spell checking to a Word document, you first have to pick the correct language for the dictionary being used.