As our deadline comes closer, we have effectively finalized all we need to do to get a sufficient capstone up and running. First, we need to continue work on the web app. In particular, we need to garner data of the wall touches of respective swimmers while sending that data to the web application, which will be plotted on a front-end UI.

Second, we need to work on the actual stroke classification. For this task, we need to input stroke information about respective swimmers into a NN, and then classify one of four strokes. The challenge with this task is figuring out how to do the limb detection itself, which has proven to be very difficult up until this point. Once we have the limb detection, though,  we can proceed to inputting relative positions of joints to the NN, and training our model.