Now that both Android and iOS have advanced sensors, Augmented Reality (AR) & Machine Learning (ML) frameworks shipping with their IDE we will see an explosion of life-saving medical apps, cool AR & useful ML technology.
We start by showing some profound examples of the modern smartphone as a medical device. We explore how this is having an influence on the health of humanity. Digging in deeper we dissect how these apps are built and deployed.
Then we learn what is AR and why it is considered the next big thing in tech by exploring the history and some mind-bending demos. After building a solid understanding of the what and why we start diving into the how. We will explore how to build an AR app on three different platforms: 1) iOS ARKit 2) Android ARCore 3) game engines Unity and Unreal. We will outline the advantages and disadvantages of each to help differentiate the different development processes.
Next, we explain what is Machine Learning and how it is being used on mobile with TensorFlow Lite (Android) / Core ML (iOS). We will cover how ML works, how you build ML apps on mobile and what applications are being built to solve various problems.
Ash - CTO @ ZoeWave building physiologically intelligent clothing called ZoeWear. Combining biotech, mobile and fashion to build clothing that keeps people healthy while looking great*. Zoe(“life”)Wear “wearable for life” is built on his experience in all three fields