Fire Spy is a machine learning project I worked on as part of a case competition in high school. The project used a drone to map wildfires using the yolov3 algorithm. The prototype of the project ran on a DJI Tello drone which streamed data via the Tello SDK to a server through the internet. Although the majority of the project used code adapted from the following repository. It helped introduce me to Tensorflow, NumPy, and OpenCV. The project gave me a better appreciation and understanding of machine learning and neural networks. I worked on the project with business-oriented classmates and I was able to look at the project from a new perspective. The project involved collaboration, market validation, and used a holistic engineering approach. Here are a few testimonials:
This is an amazing project.
– Dulcy Anderson, Constituency Assistant to Hon. David Eby, MLA (Vancouver-Point Grey)
MP Alghabra is very impressed by your entrepreneurial spirit and has personally forwarded your email and project to the office of the Minister of Innovation, Science and Industry.
– Alice Zheng, Executive Assistant to Hon. Omar Alghabra, P.C., M.P.
I have gone through your promotional material for your product and I am very impressed
– Hon. Dan Albas, MP (Central Okanagan–Similkameen–Nicola)
I don’t have any criticism of your product to offer, and I commend you on the quality and the professional look of your presentation.
– Hon. Pat Kelly, MP (Calgary-Rockridge) Shadow Minister for Finance (Associate)
