Grio was recently asked by Soundwater Technologies to add Spanish and Portuguese translations to their iOS and Android mobile applications. The app pairs with Soundwater’s hardware to use ultrasonics to measure water flow. This project was a large undertaking, but it could have been avoided: if internationalization and localization patterns had been used during the initial app development, the process would have been nearly instantaneous.
App development is a field that has undergone rapid progress over the last decade. As new technology enters the field, the preferred tech continues to grow and change. Today, I want to discuss one of the more recent development tools to enter the market: Flutter.
At Google I/O 2019, Google announced that they were working on a new toolkit, Jetpack Compose, which would redesign how user interfaces (UI) are developed on the Android platform. In August 2020, the alpha version of Jetpack Compose was released. In this post, I will be examining how Compose differs from the current Android UI toolkits, and will discuss the benefits that the new program will bring to Android UI development.
Creating a successful application isn’t just about ensuring that all of the components work; the layout and design of the application are also crucial. The design must be professional and engaging, and the layout should be easy for users to navigate. Design components, such as animations and navigation transitions, can also enhance the usability of the application.
A year after unveiling CoreML, Apple introduced CreateML. CreateML allows developers to train machine learning models on their Mac. We will stick with our previous example and build a simple machine learning model that can recognize images of dogs. Head over to https://github.com/RichardBlanch/Dog-Classifier/tree/Starter and download or clone the project.
In this post, I propose a pattern for allowing apps to transmit data through unstable network connections. I’ll be taking advantage of the modern architecture present on the iOS Platform, as well as the popular AFNetworking (or AlamoFire). To follow along, you’ll need some knowledge of iOS Native Development, NSOperation API, CoreData, and Networking.
“WHAT THE HECK?! HOW CAN I UNLOCK MY PHONE WITH MY FACE?!”
Those were the words that came out of my mouth in October of 2017, as I pored over the user manual for my new iPhone X. It wasn’t all hyperbole, either — I really wanted to know, and I ended up dedicating quite a bit of time to learning about the science behind Apple’s new facial recognition technology. In the end, the answer to my question boiled down to two words — machine learning.
A mobile app is a great way to bring new ideas to life, add value for your customers, or boost awareness of your business—but only if you can build a quality mobile experience without breaking the bank. And nailing down the cost of an app in advance isn’t exactly easy. App development costs can range from trivial to extreme, depending on a host of factors such as what your app does, how users will interact with it, and how you plan to staff the project.
These days grocery stores are facing many challenges, like high maintenance costs, price competition with online stores, and limited business hours. All of these issues can be solved with unmanned grocery stores.
If you are building a mobile application of any sophistication, you are likely to need some services to support your app. You’ll need a way to distribute your app for testing prior to submitting to the app store(s), as well as analytics, error logging, crash reporting, and possibly user and data management services. Of course, you could write these services yourself and provision servers to host these services, but why do that when you don’t have to?