{"id":24495528,"url":"https://github.com/dev-d-gr8/signsense","last_synced_at":"2026-04-09T18:02:35.819Z","repository":{"id":245671221,"uuid":"818917114","full_name":"DEV-D-GR8/SignSense","owner":"DEV-D-GR8","description":"This repository contains a transformer-based model for real-time American Sign Language (ASL) recognition. 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The model leverages state-of-the-art transformer architecture to accurately interpret ASL gestures and utilizes the Gemini-Pro LLM API for constructing sentences from recognized ASL signs. The system supports live video input for seamless, on-the-fly translation of ASL gestures into textual form, aiding communication accessibility.\n\n## Table of Contents\n- [Project Overview](#project-overview)\n- [Features](#features)\n- [Tech Stack](#tech-stack)\n- [Setup and Testing](#setup-and-testing)\n- [Demo](#demo)\n- [License](#license)\n\n## Project Overview\nThis project aims to provide a robust solution for real-time ASL recognition using a transformer-based deep learning model. The model captures live video input, processes the frames to detect and recognize ASL gestures, and constructs meaningful sentences from the recognized words using the Gemini-Pro LLM API. This tool can significantly enhance communication for individuals who use ASL.\n\n## Features\n- **Real-time ASL Recognition**: Detect and recognize ASL gestures in real-time.\n- **Transformer Architecture**: Utilizes advanced transformer models for high accuracy.\n- **Sentence Construction**: Integrates with Gemini-Pro LLM API to build sentences from recognized signs.\n- **Live Video Input**: Supports live video input for seamless ASL translation.\n\n## Tech Stack\n- **Python**: Core programming language used for development.\n- **TensorFlow**: Deep learning framework for building and training the transformer model.\n- **OpenCV**: Library for real-time computer vision tasks, used for video capture and preprocessing.\n- **MediaPipe**: Framework for building multimodal machine learning pipelines, used for hand and gesture tracking.\n- **Gemini-Pro LLM API**: API for generating sentences from recognized ASL words.\n\n## Setup and Testing\n\nTo run the project on your local machine, follow these steps:\n\n1. **Clone the Repository:**\n   ```bash\n   git clone https://github.com/DEV-D-GR8/SignSense.git\n   cd SignSense\n\n2. **Install Dependencies:**\n   ```bash\n   pip install -r requirements.txt\n\n3. **Run the Application:**\n   ```bash\n   python app.py\n\n## Demo\nFor a visual demonstration, check out my [YouTube video](https://youtu.be/6XNY6YBXgyI?si=RoZdn_8jL35EMuYD).\n\n## License\nThis project is licensed under the MIT License. See the [LICENSE](LICENSE.md) file for more information.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdev-d-gr8%2Fsignsense","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdev-d-gr8%2Fsignsense","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdev-d-gr8%2Fsignsense/lists"}