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  1. sign-language-recognition-system · GitHub Topics · GitHub

    Apr 9, 2025 · Here are 82 public repositories matching this topic... A sign language interpreter using live video feed from the camera. Sign Language Gesture Recognition From Video Sequences Using RNN And CNN. Simple sign language alphabet recognizer using Python, openCV and tensorflow for training Inception model (CNN classifier).

  2. Sign Language Recognition System using TensorFlow in Python

    Apr 9, 2025 · Building an automated system to recognize sign language can significantly improve accessibility and inclusivity. In this article we will develop a Sign Language Recognition System using TensorFlow and Convolutional Neural Networks (CNNs) .

  3. Sign Language Recognition Using Python and OpenCV

    Sign language recognition project with Python, CNN & OpenCV - Detect sign language and help dumb and deaf people in communicating with others

  4. Realtime Sign Language Detection Using LSTM Model - GitHub

    The Realtime Sign Language Detection Using LSTM Model is a deep learning-based project that aims to recognize and interpret sign language gestures in real-time. It utilizes a Long Short-Term Memory (LSTM) neural network architecture to learn and classify sign language gestures captured from a video feed.

  5. GitHub - Manureddy31/Sign-Language-Detection: A Sign Language

    A Sign Language Detection project utilizing Python and Machine Learning to recognize and interpret hand gestures in real-time. The system leverages Convolutional Neural Networks (CNNs) and OpenCV for robust feature extraction and image processing.

  6. How to build Sign Language Recognition Using CNN and …

    Nov 9, 2023 · Build a Sign Language Recognition model from scratch. This project is a building block for every machine learning project.

  7. Decoding Sign Language Using AI, OpenCV, and MediaPipe

    Jan 25, 2025 · In this project, I developed a system that leverages AI and computer vision to decode sign language gestures. By utilizing OpenCV, MediaPipe, and machine learning techniques, the system...

  8. Recent advances in machine learning (ML) have opened up new possibilities for automating sign language detection with higher accuracy and efficiency. This project explores the application of machine learning techniques for recognizing and interpreting sign language gestures.

  9. Sign Language Recognition using Machine Learning Project

    The neural networks’ proficiency in recognizing diverse sign language gestures ensures accurate translation and promotes inclusivity in communication. Sign Language Recognition System using Machine Learning, This project works on Images as well …

  10. Real-time Sign Language Recognition using Machine Learning

    This project proposes a Machine Learning-based method for recognising hand gestures and translating them into speech/text, as well as the reverse, converting speech/text to gesture.It introduces a conceptual framework that can interpret sign language autonomously, allowing deaf and dumb individuals to convey more readily with one another and ...

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