Machine Learning (ML) has traditionally been the domain of Python engineers and data scientists, but with TensorFlow.js, front-end developers can now create machine learning models for desktop, web, mobile, and cloud applications. These models can be used for tasks such as augmented reality, sound recognition, sentiment analysis, web page optimization, and accessibility improvements. TensorFlow.js allows developers to import existing pre-trained models, retrain imported ML models using transfer learning, or create new models from scratch. By leveraging this technology, front-end developers can expand the capabilities of their applications and contribute to the development of machine learning in the web environment.