Object classification is a fundamental application of machine learning used across various fields such as autonomous driving, security systems, and medical imaging. The article discusses using TensorFlow.js and React Native to create an object classification app, employing pre-trained models like MobileNet and Coco SSD for identifying and labeling objects in images. TensorFlow, developed by Google, offers a range of pre-trained models that facilitate tasks like object classification. TensorFlow.js, a lightweight JavaScript library, allows integration of these machine learning models in browser environments. The tutorial explains setting up a React Native project, installing dependencies, configuring the interface for image selection, and implementing classification functions using MobileNet and Coco SSD models. It also highlights the flexibility of using other TensorFlow.js-supported models to suit different needs. The process concludes with the option to explore further TensorFlow models or customize machine learning setups for more specific applications.