I made an Android app using Flutter and Google Maps and published it to the Google Play Store. Many iPhone users asked for a version for their phones. Building an iOS version and publishing it to the App Store seemed much more complex than building and hosting a web app (and I don’t even own a Mac). So that is what I decided to do. In this post, I will tell you about my experience. In summary, it was more difficult than expected, but I still think I made the right decision, and the iPhone users are happy.
I love these three math problems! The first one requires very little math skill — but it is maybe the most difficult one. The second one only requires basic geometry. For the third one, you need to know elementary algebra.
I call this problem “the 316 problem” because 316 is not a solution, but almost! The problem is :
The 316 problem
Find an integer number such that it gets exactly twice as big if you move the last digit first.
Take 316 for example: If you move the last digit first, you get 631. If you double it, you…
You are about to develop a Flutter app with Image Recognition. Which tool should you choose?
This post is a follow-up on my article Build a Dog Camera using Flutter and Tensorflow. The Dog Camera app is similar to the regular Android camera app. But if there is a dog in view, its breed can be displayed. The app was built using TensorFlow. I have now built the same app using ML Kit instead. This post first describes how the new app was built. Then the two approaches are compared.
The Dog Camera app is similar to the regular Android camera app. But if there is a dog in view, its breed can be displayed.
When a dog is detected, it gets surrounded by a yellow frame. If the white button is tapped then, a snapshot is taken and saved to the gallery, as with the regular Camera app. But before it is saved, the dog’s breed is written in the image.