Digging into the Data: The first step is to gather all the relevant information we can. This might involve collecting data ourselves or finding existing datasets.

Researching the Cutting Edge: Once we have the data, it's time to hit the books! Research papers and articles will help us understand the latest and greatest approaches (often called "state of the art") to tackling this problem.

Coding: With our research in hand, we can start building our model. TensorFlow and PyTorch are popular tools (like programming languages) that data scientists use to bring these ideas to life. We'll use them to code up the most effective approach we found in our research.