Teresa Wu

Article to demo how to implement Behaviour Driven Development (BDD) in a Flutter project.

Flutter is the cross-platform tool used to build natively compiled mobile apps for iOS and Android. The platform is highly focused on UI and can be tailored for various screen sizes. Let’s take a look at the evolution of cross-platform tools.

At Tide one of our goals is to reduce development time together with complexity and costs when developing our iOS and Android app. One of the issues we face is the duplication of code across platforms. Therefore we have recently conducted an interesting R&D at Tide of multi-platform solutions for our mobile apps.

Google has published few AI kit and one of them is text recogition, where I decided to try it out using a sample Android app to read receipts. The target is to be able to recognise: total, VAT and type

Google’s ML kit is the new firebase SDK that provides machine learning power to Android and iOS apps. The tool set includes: label image, text recognition, face detection, landmark recognition, barcode scanning and smart reply (coming soon at the time of writing).

TensorFlow is a powerful tool, and its image recognition model contains millions of parameters.

TensorFlow is a wonderful tool for machine learning, where its main purpose is designed for neural network models. When it comes to mobile, Google has provided us with two libraries: TensorFlow mobile and TensorFlow Lite.