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As we wrote in the previous blog the Qt framework is one of the most popular tools for developing digital instrument clusters and in-vehicle infotainment systems (IVI). The acknowledgment is that the Qt framework is a member of the Genivi Alliance where there are also such giants of the automotive industry such as BMW Group, Honda, Volvo, and others.
Qt is de-facto the most suitable framework for the commercial application of a cross-platform GUI library available for C++, Python, Go, Haskell and some other languages.
The Qt development framework presents a rich set of tools for the creation of cross platform applications with an advanced UI. The framework supports all popular desktop and mobile operating systems and shares 5th-6th place in a global non-official rating of all cross platform and hybrid toolchains for desktop and mobile development.
The two main standards currently are Apple’s iBeacon and Google’s Eddystone. Also there are some alternatives like URIBeacon and ALTBeacon but it does not seem that these alternatives are particularly popular now.
One of the most common ways to make an application that reacts to natural language is to use Amazon’s NLU service Alexa. Alexa is a well known and widely used platform that analyzes a natural language, recognizes commands and passes them to an application.