American Sign Language Recognizer Implementation. Project for the AI Nanodegree program

Bangla Sign Language Interpreter using CNN

My solutions to the projects assigned for the Udacity Artificial Intelligence Nanodegree

My projects from Udacity's Artificial Intelligence Nanodegree

The purpose of the Sign-Interfaced Machine Operating Network, or SIMON, is to develop a machine learning classifier that translates a discrete set of ASL sign language presentations from images of a hand into a response from another system.

ASL Sign Recongition using SVM, Decision Trees and Neural Networks

ASL gesture recognition from the webcam using OpenCV & CNN

🤘 This is my WWDC 2019 Playground submission ∙ (early 2019)

A simple for web app for enabling people to communicate with deaf and dumb people.

Sign Language Alphabet Recognition System that automatically detects American Sign Language and convert gestures from live webcam into text and speech.

Real-time fingerspelling video recognition achieving 74.4% letter accuracy on ChicagoFSWild+

Submission by Team Debuggerz for Hacktrix 2.0

Object Detection Model for ASL Alphabet

A simple sign language detection web app built using Next.js and Tensorflow.js. 2020 Congressional App Challenge. Winner! Developed by Mahesh Natamai and Arjun Vikram.

American Sign Language Classification Model

ASL number recognition web application

American Sign Language prediction in real time using OpenCV. A certain GUI is also built using Tkinter which can be seen in Sign Language Reader.py file. This project also has the feature to speak the generated text using API for text to speech conversion

There are many applications where hand gesture can be used for interaction with systems like videogames, controlling UAV’s, medical equipment’s, etc. These hand gestures can also be used by handicapped people to interact with the systems. The main focus of this work is to create a vision based system to identify sign language gestures from real-…

A demo with basic CNN for image recognition