This week I worked on some Figma frames to help represent how our web app is going to look and have a clear idea of what we want to put in the HTML templates. I also created another GitHub repository to put all of our images and created the folders for each sign. Since we needed to get started this week in building our testing database, I started taking pictures of signs for letters N to Z and numbers 5 to 9. I took 5 pictures for each sign and you can see a sample of what the pictures looked like here. The main idea was to have different angles for the photo to build the neural network in recognizing a sign at any angle. Apart from that, I looked into the possibility of building a neural network inside an EC2 instance since we found through research that building this network with our computers can potentially make them crash. I did find that it is possible but that we might need a GPU instance, which is something to consider. Lastly, I’ve spent the majority of this week, along with Aishwarya and Hinna, working on the design presentation.
Currently, our progress is mostly on schedule. However, we are currently slightly behind on the web app since we have taken priority to machine learning this week. Because we are currently behind on the web app, I’m planning on working on it this next week and not focusing as much on machine learning so that we do have the HTML templates set up. Luckily the Figma frames do help immensely on what elements to add to the pages so it shouldn’t take me more than a week to finish this up. For next week, I hope to accomplish finishing up the HTML templates and have all the pages set up with minimum actions like moving from the home page to a course module, etc. I also hope to continue building the testing database for my assigned signs (N-Z, 5-9) with at least 10 pictures per sign. Apart from that, I would also be helping finish up our design paper.