An AI-powered application that recognizes and interprets sign language gestures in real time using Deep Learning and Computer Vision.
This project helps bridge the communication gap between the hearing-impaired community and others by converting hand gestures into readable text.
This project uses a Convolutional Neural Network (CNN) trained on hand gesture images to detect sign language in real time.
The model is integrated with a Flask web application that provides a clean, interactive interface for testing gestures through a webcam feed.
- 🎥 Real-time sign detection using your webcam
- 🧠 Deep learning–based CNN model for accurate recognition
- 🌐 Flask-powered web interface
- ⚡ Fast and responsive performance
- 🧩 Easily extendable for new gestures or words
| Category | Technology |
|---|---|
| Programming Language | Python |
| Frameworks | TensorFlow / Keras, Flask |
| Libraries | OpenCV, NumPy, Pandas |
| Frontend | HTML, CSS, JavaScript |
| Model Type | Convolutional Neural Network (CNN) |
