sign-language-translator /
sign-language-translator
Python library & framework to build custom translators for the hearing-impaired and translate between Sign Language & Text using Artificial Intelligence.
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Eiman-Zulfiqar / repository
The Sign Language Recognition System is an innovative technology designed to bridge the communication gap between deaf individuals. This system utilizes machine learning algorithms like LSTM and computer vision techniques to interpret sign language gestures. By capturing the hand gestures, it converts in into text, enabling effective communication.
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sign-language-translator /
Python library & framework to build custom translators for the hearing-impaired and translate between Sign Language & Text using Artificial Intelligence.
85/100 healthtechinAI /
In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach. You will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice. AI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work. We will help you master Deep Learning, understand how to apply it, and build a career in AI. Created by: Deeplearning.AI
DEV-D-GR8 /
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.
61/100 healthabdullahmujahidali /
The application is developed using Python3, OpenCV and with concepts of Neural Networks it is trained on DarkNet 53 and for the real time object detection I am using Yolo v3. It detects the 1 hand representation of number 1-10 which will be pointed by the user in real time using American Sign Language
42/100 healthCodingSamrat /
A Machine Learning model that will be able to classify the various hand gestures used for finger spelling in sign language
69/100 healthThis 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.
68/100 health