https://github.com/rational-kunal/sober-meter

Are you sure you can drive? Know it with this simple but inaffective tool 😅
https://github.com/rational-kunal/sober-meter

ios ml swift

Last synced: about 16 hours ago
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Are you sure you can drive? Know it with this simple but inaffective tool 😅

• Host: GitHub
• URL: https://github.com/rational-kunal/sober-meter
• Owner: rational-kunal
• Created: 2023-09-16T10:13:59.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-02-11T05:49:32.000Z (9 months ago)
• Last Synced: 2024-02-11T07:30:50.255Z (9 months ago)
• Topics: ios, ml, swift
• Language: Swift
• Homepage:
• Size: 367 KB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Sober Meter 🍻❓

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](https://developer.apple.com/documentation/coreml) and [Create ML](https://developer.apple.com/documentation/createml) 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](https://github.com/hollance/CoreMLHelpers)_