Simple Action Detector using LSTM, CNN and MediaPipe

Application to learn American Sign Language. 🚧 Under development.

Snapchat Lens used to transcript American Sign Language

Cutting-Edge Video ASL recognition

ASL word-level transcription using DL and CNNs

A cross model translation system from Speech to Indian Sign Language along with an emotion recognition system for real-time user input.

The finalist project for What The Hack 2022.

Transformer for translating Mediapipe ASL Fingerspelling data to text sentences. Based on Google Kaggle competition.

AI based ASL translator Sign2Text. Front end made with Astro and Svelte.

HandsOn Android App to translate & learn ASL

ML model responsible for detecting ASL letters.

American Sing Language Translator

American Sign Language translation to text, using a Machine Learning Model. (🏆 3rd Place at HackHershey)

This repository contains a transformer-based model for real-time American Sign Language (ASL) recognition. The model leverages transformer architecture to interpret ASL gestures and utilizes the Gemini-Pro LLM API for constructing sentences from recognized ASL signs.

A webapp to help users learn ASL Fingerspelling alphabet

A React based web application for American sign language translation

A Computer Vision based project that uses CNN to translate American Sign Language(ASL) to text and speech

Breaking Barriers: A CNN-Based ASL Classification System!

A Machine Learning System for Sign Language Video Translation and Speech Generation into Low-Resource Languages (LRLs) in Nigeria. AISaturdayLagos (Cohort- 8 Ransom-Kuti-Ladipo)

EchoSign was made as part of an IBM internship project which we won with this project. It uses transfer learning on MobileNet on a hand-curated dataset of ASL images. The website for this classification was developed in Flask and it uses TTS technology for ASL text to speech conversion.