There is no need to code anything, as all the ML/AI algorithms are available in the system. So the user can concentrate on his dataset. So everyone can use it with basic knowledge of ML/AI.

In designing tinyML based applications, there are several important things related to the domain that needs to be anlalyzed. The domain specialist should not be needlessly constrained with the task of understanding data science models or python coding or how they play out for embedded devices. Even if those are handled, comes the next hurdle of deciding on the cloud infrastructure, allocating the resources, cost control etc. All these prevents the domain specialists from focussing on the primary objective on hand. Moreover, several iterations are required to reach the final application. In this scenario, where knowledge from several technical domains are also required, Neuton AutoML makes the whole job far far simpler and allows greater productivity and more efficient solutions

It helps to easily build optimal ML algorithms