Are you sure you can drive? Know it with this simple but inaffective tool 😅.
I developed this app with a focus on mastering the Core ML and Create ML APIs.
The app presents challenging math questions, requiring users to provide their answers to assess their sobriety. To achieve this, I harnessed Apple's MNIST model, which recognizes handwritten digits. Moreover, I integrated PencilKit to offer users a canvas for drawing their responses.
During my learning process, debugging the ML model posed a significant challenge. Initially, the model's accuracy was subpar. To improve it, I addressed two pivotal issues: a) modifying the input format to white on black and b) increasing the marker width on the canvas.
Used util classes from: CoreMLHelpers