Using the front camera and tensorflow.js, the smartphone becomes a “window” into the real world. Video and image content appear as if they were seen through this window. To do this, the viewer’s position is determined using a neural network. The viewed content is then moved according to the viewer’s position. This makes it seem like the content is physically behind the smartphone and is viewed <i>through</i> the smartphone’s screen. This effect is especially useful for content captured using an ultra-wide lens.