ASL Detector

Motivation

I wanted to experiment with Mediapipe's gesture detection and thought it would be fun to detect American Sign Language.

Challenge

Create a program that uses the users webcam to recgonize hand gestures and allow the user to type using it.

Solution

Using Mediapipe's gesture recongition a custom ASL detector was created which allows the user to write text to a .txt file using only hand gestures.

Approach

In order to train my own gesture recongition model, I needed to first create a database of example gestures. I took approximately 100 pictures of each hand gesture of the ASL alphabet and then fed these images into a python script. This script trained a model which I used in another python script to look through the users webcam and allow the user to type using their hand gestures.

Skills Demonstrated	Project Artifacts
OpenCV, Mediapipe, Gesture Recongition	Github Repo

Benefits

This program can be used by those attempting to practice ASL or train custom gestures models of thier own.