This week, we effectively finalized the last steps needed in order to be successful for this project. First, we concluded that it is important to collect tracking data from swimmers after they touched the wall, and display splits on a graph. We have gotten the website to monitor that data, and our time graph refreshes every 5 seconds or so. Adithya is working on the front-end to back-end integration, while Jack is working on the demo, as well as the web-app.

Next, we have to actually do the ML for the stroke classification. This involves “zooming” into the swimmer, and then tracking the moving swimmer. Based on the limbic motions of the swimmer, our software would ideally be able to classify a swimmer on one of four strokes.