Real-time Sign Language Recognition in Python

This project implements a real-time sign language recognition system using Python. The system captures video from your webcam and uses a machine learning model(Convolutional Neural Network) to classify the hand gestures into corresponding sign language characters.

Features

1.Real-time video capture using OpenCV

2.Sign language gesture recognition with a Convolutional Neural Network Model

3.Visual feedback on the recognized characters

Demo

Requirements

1. Python 3.12

2. OpenCV (pip install opencv-python)

3. Pytorch (pip install torch)

4. Flask (pip install flask

5. Numpy

6. Matplotlib

7. Pandas

Usage

1.Clone this repository.

2.Install the required libraries (pip install -r requirements.txt).

3.Run the script: python main.py

4.Open the default web browser and type url localhost:5000.

the application runs on port 5000 of the localhost