Machine Learning is not everybody's cup of tea. It requires a lot of skill on Algebra and related algorithms. Does that mean, we should ignore this skill and move ahead? Of course not!!! Now a days, there are many solutions who exposes the ML capabilities as Restful Web Services. In this talk, we are going to explore one such tool called "Firebase ML Kit".

Firebase ML Kit is a tool, by integrating which, our app enables to solve lot of ML problems with ease. And the best part is, we neither need to learn Python nor Algebric algorithms. It will feel as if we are consuming some Restful API through a wrapper called "Firebase ML Kit".

There are lot of features provided by Ml Kit, we will go through many of them and try to understand how easy it is to enable an Android app to have ML capabilities. As the talk proceeds, audience will have a confidence of trying to enhance their existing app with some of the features discussed.

The motive of this talk is to let the audience know that adding ML features in their app is like consuming some Restful Web Service. And because of this many developers who have already used "Firebase ML Kit"
or might want to try it in near future, may have a misconception that ML == REST. However, that is not true. Machine Learning can never be equal to any Restful Web Service. By the end of the talk, We will conclude with ML != REST.