This week I presented the project proposal for my group. As a group, we decided what information we wanted to convey in the presentation. Afterwards, I reviewed the slides and helped make the slides better for presenting–engaging and readable. During our meeting, Professor Fedder stressed that we must be able to answer “why” questions about our use case and requirements. To be prepared and effectively communicate our proposal, I researched current search and rescue drone applications and their standards, the drone market, and different radars–specifically our mmWave radar to gain more knowledge about it but also possible other choices for our device like lidar. After performing this research, I distilled what I learned into readable slides. I did my best to make our device easily imaginable by equating size with an iPhone 12, weight with half a bottle of water, and finishing our user requirements with a clear price comparison. Once the slides were polished, I practiced and timed out the presentation. Moving on, our progress is on schedule. In order to stay on track, I need to research ML algorithms to implement that would best achieve our goal of human detection classification. Therefore, I will perform this research and hopefully start training one architecture on our dataset, which we have already chosen.


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