This week we worked on designing the PCB as well as fake data for choosing an ML model. Sophia took lead in designing the PCB since she has the most experience with building circuits and is currently taking a course specifically for PCB design. There were some obstacles in getting the PCB correctly designed, but Sophia was able to find ways around it. Stephanie and Rachel both worked on creating fake data; Stephanie and Rachel researched the sensors and created fake data based off of that using two slightly different approaches. We decided that making these datasets separately would be a good idea so that we have a little more variance in the data and can more confidently choose the model for our use case. For more details on the PCB design or fake model generation, please read our individual status reports.
For the next week, we are planning on having the PCB completely designed and sent to manufacture. We also will test and settle the ML model for our project– Stephanie has already done some preliminary testing and all of our candidate models seem to be sufficient, but more robust testing is necessary. From the software perspective, we are right on schedule with determining the ML model. However, from the circuits perspective, it seems that our order for the parts was not seen until recently and we also do not know how long the PCB board will take to print, so these things could set us back a bit. In addition to solidifying the ML model, while we wait for the parts to arrive, we can work on preparing our design presentation for the following week.