Welcome to Day 9! Today, you’ll learn how to optimize your trained machine learning model for mobile devices. Optimizing the model improves performance, reduces memory usage, and ensures a seamless…

Welcome to Day 8! Today, you’ll learn how to train a custom machine learning model tailored to your specific app requirements. Training your model allows you to create unique features…

Welcome to Day 7! Today, you’ll learn how to integrate sentiment analysis into your app using a pre-trained Natural Language Processing (NLP) model. Sentiment analysis is used to determine the…

Welcome to Day 6! Today, you’ll take your app to the next level by adding real-time processing capabilities. This means running machine learning models on live camera feeds to detect…

Welcome to Day 5! Today, you’ll enhance your app by integrating the device camera and managing image data for real-time processing. This feature is crucial for applications like live object…

Welcome to Day 4! Today, you’ll implement advanced machine learning capabilities like face recognition or emotion detection. These features can be used in security applications, social apps, or any context…

Welcome to Day 3 of integrating machine learning into your mobile app! Today, you'll implement object detection using pre-trained models. Object detection is a key feature for apps that require…

Welcome to Day 2 of our journey into integrating machine learning into your mobile app. Today, you’ll learn how to set up a pre-trained model to classify images. We’ll use…

Welcome to the first day of this 10-day journey to integrate machine learning into your mobile app. Today, we’ll introduce two powerful machine learning frameworks—TensorFlow.js for cross-platform development and Core…