An Indian Sign Language Translator, created with the aim of achieving near-real time outputs, along with background and illumination independence.

In this project, we have developed 'Smart Glove' - a sign language translator. It consists of both hardware and software modules for translation and prediction analysis. We perform real-time translation of hand gesture into speech and text. In this project, we have used different machine learning models for prediction analysis including KNN, SVM, Decision Tree, Naive Bayes, Random Forest and Logistic Regression.

Arabic Real-time Sign Language Translator

This program is developed to solve the communication barrier between Normal person and specially abled using Deep learning . This Application can be used as virtual camera in any video conference application.

Our platform is “E-learning platform” provide some features by using computer vision and artificial intelligence technologies as Real Time Arabic Sign Language Translator, Facial Expression Recognition and Recommendation system

British Sign Language Translator is a real-time AI-powered system that translates BSL gestures into English text. It captures hand, face, and upper-body motion via webcam, provides instant, on-device recognition, and enables accessible, privacy-first communication between signers and non-signers

Scalable real-time American Sign Language translator using Mediapipe (Holistic) and LSTM

The Sign Language Translator Android app uses cutting-edge technology to enhance communication between sign language users and non-users. By integrating AI, NLP, and CV, it offers three key features: real-time translation of sign language gestures to written language, translation of text/voice inputs to Arabic Sign Language, and an ArSL dictionary.

Deep Learning and Computer Vision Sign Language real-time Translator to English using Drone technologies

real time sign language translator using deep learning and OpenCV

Real-time American Sign Language (ASL) alphabet translator using AI and computer vision.

ASL Translator is a real-time hand gesture recognition system that translates American Sign Language (ASL) alphabet signs into text. Using MediaPipe's hand tracking and custom geometric pattern matching algorithms, it provides accurate letter recognition with visual feedback.

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Real-time sign language translator

is a real-time Indonesian Sign Language translator application using the YOLOv5 method, designed to assist who struggle to understand sign language's

Real-time Sign Language Translator built as a MERN full-stack web application, integrating a CNN-based computer vision model (Python, OpenCV) for ASL recognition and a transformer-based model (DistilGPT-2) for real-time next-word suggestions.

AI-driven real-time American Sign Language translator. Implemented leveraging Support Vector Machines (SVM), OpenCV library and MediaPipe hands module.

A deep learning-based system that translates hand gestures into text across 9 Indian languages — Hindi, Marathi, Tamil, Telugu, Malayalam, and Bengali — using a webcam and a trained CNN model for inclusive communication.

A real-time Sign Language Translator built with HTML, CSS, and JavaScript. Uses MediaPipe for hand gesture detection and Web Speech API for voice output. Converts gestures into text and speech instantly, promoting accessibility and inclusive communication.

SmartSign — Real-Time Sign Language Translator - **SmartSign uses deep learning and computer vision to translate sign language gestures into real-time text and speech for inclusive communication.**

AI-powered real-time sign language translator to enhance accessibility and customer experience in retail spaces

A real-time American Sign Language (ASL) to text translator built with TensorFlow.js and React.js.

A sign language gesture translator leveraging Intel-oneAPI, facilitating real-time translation between sign language and spoken language. It utilizes advanced parallel processing capabilities for efficient and accurate interpretation.

A Real-time Chat Translator that allows users to sign up, sign in, and chat with a chatbot that translates their messages into another language using the Google Translate API.

A real-time sign language translator using Python, MediaPipe, and TensorFlow. Translates gestures to text/speech via webcam, with customizable model training for accuracy and an intuitive interface.

American Sign Language Translator is a Web Application which converts Sign Language from camera feed to text using a custom Keras model Converted into TfJs Model Displayed in a React Website to show the Real Time Visualization of Deep Learning.✨

Real-time Indian Sign Language (ISL) translator running entirely in-browser. Powered by Edge AI (MediaPipe + ONNX) for privacy-first, zero-latency inference. Features Multilingual UI, TTS, and Gemini integration.

This web-application strives in aiding the deaf community by making sign language more accessible. Here, real-time video is captured with OpenCV and a 3-layer CNN detects and translates hand gestures. It uses a web app created with Flask, making it platform-independent and allowing users to sign without a translator.

FlexLingo is a final year IoT project that serves as a flex sensor-based sign language translator. It uses Random Forest and BiLSTM models to interpret real-time hand gestures, translating them into spoken words or text via an Arduino smart glove and a React web interface.

SignAssistive is a real-time Indian Sign Language (ISL) translator that uses computer vision and machine learning to detect and classify hand gestures. The system features both traditional ML and deep learning (CNN) models for gesture recognition, with live webcam support and a modern web interface powered by FastAPI. It supports A-Z alphabets, 0-9