It’s becoming easier to use machine learning (ML) in your mobile apps, especially with technologies like TensorFlow and CloudVision. But training machine learning models can take significant time and effort, that’s where Google’s Firebase ML Kit can help! Even if you have no machine learning experience, you can use any of the pre-trained models to get a head start. Common use cases include face detection, recognizing text, labeling images, and scanning barcodes. Let’s take a closer look at how the Face Detection API works.Continue reading “Add face-detection to your app with the Machine Learning Kit from Firebase”
Going Serverless: Firebase vs AppSync
The benefits of going “Serverless” with your next web or mobile app are becoming too great to ignore. Especially if you’re a solo developer, small team, or startup. As a Full-Stack Developer, I enjoy configuring and maintaining the whole stack. But the back-end overhead is often costly in time and resources, sometimes you just want to launch something as quickly as possible! That’s where using Google’s Firebase or Amazon’s AppSync for your next project can help, so here’s a quick overview of both.