This is a python application which converts american sign language into text and speech which helps Dumb/Deaf people to start conversation with normal people who dont understand this language

Sign Language Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras frameworks.

We help the deaf and the dumb to communicate with normal people using hand gesture to speech conversion. In this code we use depth maps from the kinect camera and techniques like convex hull + contour mapping to recognise 5 hand signs

ASL to Text and Speech converts sign language to text and speech in real-time. Using computer vision and ML, it recognizes hand gestures from webcam input and translates them into spoken words, making communication accessible for the hearing impaired. Features include real-time detection, text conversion, and speech synthesis.

The AI-Based Sign Language to Speech Conversion System for Speech-Impaired Individuals is an assistive technology designed to help individuals who cannot speak communicate effectively.

This is a Streamlit app that detects, classifies, and translates Indian Sign Language (ISL) using custom-trained YOLOv8 and Vision Transformer (ViT) models. It supports real-time image capture, multi-language text translation, and text-to-speech conversion, enhancing accessibility and communication for ISL users.

Sign Language Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras frameworks.

This is our ITSP project that basically recognizes and converts gesture to speech. Gesture to speech conversion has been done using American Sign Language

A Web App for Speech to Sign Language conversion

Speech to Sign Language conversion tool by CMU Sphinx & python

sign language to speech conversion system

American Sign Language Recognition and Conversion to Speech

Flask app for real-time speech-to-sign and sign-to-speech conversion using speech recognition, sign language GIFs, and hand landmarks.

Real Time Speech to Sign Language Conversion with Animated Avatars

🤟 AI-powered sign language assistant for speech and hearing impaired individuals. Real-time sign-to-text conversion using CNN, text-to-sign animations, and emergency SOS alerts. Built with TensorFlow, MediaPipe & Python.

Speech to text conversion(vice-versa),E-mail voice assistance,Emotion detection,Song recommender using facial detection,Video search through voice assistance,audio to text,Sign languaguage to text.

This project is a real-time sign language recognition system that utilizes computer vision and machine learning to detect and interpret hand gestures. It translates recognized signs into text and provides an option for text-to-speech conversion, making it an interactive and accessible tool.

This is a Streamlit app that detects, classifies, and translates Indian Sign Language (ISL) using custom-trained YOLOv8 and Vision Transformer (ViT) models. It supports real-time image capture, multi-language text translation, and text-to-speech conversion, enhancing accessibility and communication for ISL users.

Aims translating sign language via text to speech for mute people that includes a user friendly glove with flex sensor and adafruit. Team of 3 students, designing a glove for deaf and dumb people (sign to speech conversion) using teensyduino, adafruit BNO055 and flex sensors that would give audio output with different patterns of hand movements through a mobile application (speaking serial monitor). All components will be placed on the back side of the glove providing the user with full range of motion, and not restricting the user from performing other tasks while wearing the glove.

Usage of smartphone to capture images is a very common occurrence today. However, people with vision problems might not be able to clearly see the pictures. I've developed a Cognitive app which uses Visual Recognition & Text-to-Speech Conversion Capability of IBM Watson which allows both normal person or a person with some eye condition(Blurry vision, Color Blindness, Hypermetropia, etc.) to Understand an object, sign or an unknown language through the speech guidance capability of the app. This app Describes an object recognized through the input image which is sent to the visual-recognition service and the description which is a collection of some keywords is sent back in text form, after it the text is then renderd into audio through text-to-speech service which is accessible & very beneficial to people who cant view the mobile screen properly. This app is a Visual Aid & can have a vast implementation.

Real-time sign-to-speech conversion system using hand gesture recognition with MediaPipe and OpenCV, featuring pretrained gestures, user-defined customization, and geometry-based matching.

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Real-time AI Sign to Speech + Speech to ASL Animation. MediaPipe Hands, TF.js, Django. 30FPS detection for accessibility.

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This is a python application which converts american sign language into text and speech which helps Dumb/Deaf people to start conversation with normal people who dont understand this language

A Python-based desktop application for real-time American Sign Language (ASL) fingerspelling recognition using computer vision and deep learning.

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