The process is mainly divided into two broad phases:

1. Feasibility Study - As the name suggests, this phase determines the feasibility of the AI project. The feasibility analysis phase involves our team carrying out a full-scale qualitative and quantitative analysis and refining of your datasets. They define, preprocess, and transform the available data to make it fit to be used for the model development.

2. Model Development - Based on the output of the Feasibility Study, we have a clear picture that outlines if the data is good enough to proceed with full-scale development. Once the data is studied and refined, we proceed to full-fledged development of the model. We train the model using various algorithms depending on the experiments conducted. The refined data from the first phase is fed into the model, and insights are derived.