https://github.com/namanchandok/asl-translator
Sign Language Translator using CNN
https://github.com/namanchandok/asl-translator
asl cnn python tensorflow
Last synced: 2 months ago
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Sign Language Translator using CNN
- Host: GitHub
- URL: https://github.com/namanchandok/asl-translator
- Owner: NamanChandok
- License: mit
- Created: 2025-04-28T14:22:57.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-06-06T07:40:51.000Z (about 1 year ago)
- Last Synced: 2025-06-06T08:32:23.307Z (about 1 year ago)
- Topics: asl, cnn, python, tensorflow
- Language: Python
- Homepage:
- Size: 47.8 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README

## Introduction
A real-time American Sign Language (ASL) translator leveraging Convolutional Neural Networks (CNNs) to interpret hand gestures captured via webcam and convert them into corresponding English text.
This project aims to bridge communication gaps for the deaf and hard-of-hearing community by translating ASL gestures into readable text. Utilizing computer vision and deep learning techniques, the system processes live video input to recognize ASL alphabets.
## Project Structure
- `asl_dataset/`: Directory containing ASL images used for training and validation.
- `asl_cnn_model.keras`: Pre-trained Keras model for ASL alphabet recognition.
- `cam.py`: Script to capture real-time video input from the webcam.
- `main.py`: Main application script that integrates video capture and model prediction.
- `requirements.txt`: List of Python dependencies required to run the project
## Getting Started
### Prerequisites
- Python 3.7 or higher
- Webcam for capturing hand gestures
Clone the Repository:
```bash
git clone https://github.com/NamanChandok/asl-translator.git && cd asl-translator
```
Install Dependencies:
```bash
pip install -r requirements.txt
```
Run the Python File
```bash
python3 Cam.py
```
## License
This project is licensed under the MIT License.
## 🤝 Contributing
Contributions are welcome! If you'd like to contribute to the project, please fork the repository and submit a pull request.