ASL Recognizer
A simple app that analyses and recognises the alphabet in sign language using machine learning
I trained the model with this dataset of about 80,000 images depicting the american alphabet in sign language.
The computer trained the model for about 24h and I got pretty accurate results.
Implementation
Once the model had finished training I implemented it in Swift, creating a project that received in UIImage processes it with the model and shows the result on screen. The code is open-source and available on GitHub.
The frameworks I used
I used AVFoundation as the first framework to start recording in real time and receive frames from the camera. After that, the frames I was receiving from the camera were processed using the model created with machine learning and using the vision framework. Then the whole UI is built using SwiftUI.
Demo of the app
Logo
