Create your first voice bot for Google Assistant

The idea of having a bot, who listens, understands and responds to your commands, is very intriguing. How about creating one yourself? It might sound daunting at first but it’s not that difficult in reality.

In this post we will create a bot for Google Assistant which powers Google Home, Google Now and probably some other google products. To keep this post really short and easy to follow, I will not plug the NLP piece in our bot, which you might have to in case you decide to build a really intelligent bot. Our bot will do a simple thing, when asked for a movie suggestion, it will suggest a movie.

CLOUD GIANTS RACE :AWS vs AZURE vs GOOGLE CLOUD

The more we travel in time, towards future, cloud computing keeps on captivating us with its mysterious enticing.The competition is heating up in the public cloud space as vendors regularly drop prices and offer new features.I will shine a light on the competition between the three giants of the cloud:Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft’s Azure.  

Why Angular 2

Early this year, I began on a self-righteous (but approved, of course 😉 ) journey to make things right for my project — to break all shackles and limitations that the team faces in working with older technologies, methodologies and guidelines. When I started off, my aim was to make as minimal-but-essential changes to the system as possible, keeping in mind that my project is a live one, having at least 100 MegaBytes of code, with around 16 developers contributed to this application — in batches, of course — in the past 8 years, each having their own signature style of coding. Needless to say, there were more than a few tasks for research in this journey of mine.

One such, important analysis was to decide what UI methodology should the team adopt going forward. This blog post will focus on the analyses and decision-making process that made it happen and finally helped me decide on Angular 2.