Over this past week, my main focus was working on and practicing the project proposal presentation as I was our group’s speaker. In making the proposal presentation, I worked with the other members of my group to refine our use-case requirements and testing metrics, create a solution approach diagram, and create basic web app screens to explain the different learning and testing modes we plan to implement in our learning platform.
I also did research on ASL signs to help determine which ones to include in our web app as well as factors such as similarity between chosen signs, signs that deal with left/right hand dominance, signs that involve motion, signs that involve both motion and facial features, etc.
While our project is currently on schedule, there is definitely some time pressure associated with training our machine learning model, which we have yet to begin, despite not yet finalizing an implementation design for our project. Over the next week, I plan to do more research into types of neural networks that would best fit our project (as feedback from our initial proposal has us rethinking a CNN), and figure out tradeoffs between how we process input data (raw images, videos, data points from computer vision models, etc). With this research, I hope to work with my team to finalize a design and start making testing/training data for our ML model.