Our currency detector was created in order to help banks facilitate the exchange of different currencies in an automatic fashion.
Through our AI model, we are able to eliminate currency exchange centers in favor of machines that are more efficient than human operated processes.
Foreigners do not have to worry about communication when they are exchanging their bills in a new country.
Michael is one of our instructors. Previously he ran data teams at Blend Labs and Grab. He's also a founder and EIR at Fusion Fund. He enjoys teaching and inspiring the next generation of students. He graduated from Caltech with a BS and Stanford with a Ph.D. in Applied Physics.
AI Camp is the basis of this product. Without this camp this product wouldn't exist! With the help of us campers and our instructors, in just 3 weeks we came up with, prepared, and created an AI product in which we are presenting to you!
Labelbox is a data training platform that allowed us to label thousands of pictures of various currencies. We were able to create and assign different objects to each of the currencies.
YOLO is an object detection system which uses a set algorithm to detect objects and identify what they are. It was preferred over a convolutional neural network model because this system looks at the whole image at test time so its predictions are informed by global context in the image, making it much faster.