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An open-source platform designed for the crowdsourcing of sign language datasets. The project aims to foster a diverse and inclusive dataset, collected from a broad user base, to train and improve AI-driven sign language translation systems
American Sign Language (ASL) fingerspelling practice tool prototype based on Dr. Bill Vicars practice tool but using a 3D animated hand scan instead of pictures.
1st place AL/ML, overall 2nd place in Anaconda's Data Science Expo 2023 - A web application that teaches ASL sign language alphabets on demand using real-time Tensorflow.js object detection model.
Tool for reading NZSL-Dictionary dataset, and using PoseNet ML model to extract information and images from video of NZSL sign performances, to generate datasets to train CNNs to recognise traits of visual signed languages
An open-source platform designed for the crowdsourcing of sign language datasets. The project aims to foster a diverse and inclusive dataset, collected from a broad user base, to train and improve AI-driven sign language translation systems
gebaerdenlernen-web ist ein eine erste Test Anwendung um die Inhalte von https://gebaerdenlernen.de/ zu Trainieren. Noch ist das Projekt nicht offiziell mit der Webseite verknüpft.
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.