Simple Action Detector using LSTM, CNN and MediaPipe
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Updated
Apr 21, 2024 - Python
Simple Action Detector using LSTM, CNN and MediaPipe
Application to learn American Sign Language. 🚧 Under development.
Cutting-Edge Video ASL recognition
A webapp to help users learn ASL Fingerspelling alphabet
A React based web application for American sign language translation
Snapchat Lens used to transcript American Sign Language
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)
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.
HandsOn Android App to translate & learn ASL
AI based ASL translator Sign2Text. Front end made with Astro and Svelte.
ML model responsible for detecting ASL letters.
American Sing Language Translator
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.
ASL word-level transcription using DL and CNNs
Breaking Barriers: A CNN-Based ASL Classification System!
American Sign Language translation to text, using a Machine Learning Model. (🏆 3rd Place at HackHershey)
Repo for storing files for the graduation project. It holds code for the CV and NLP Model
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.
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