Sign Language to Text Converter

📝 Project Description

This project translates sign language gestures into text using computer vision and a pre-trained Convolutional Neural Network (CNN). It leverages OpenCV and TensorFlow to process webcam input, predict the gesture shown, and display the recognized text.

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🧰 Tech Stack

• Python 3.x
• OpenCV
• TensorFlow / Keras
• cvzone

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🚀 Installation & Setup

1. Clone the repository

git clone <your-repo-link>
cd Sign-Language-TO-Text

2. Create a virtual environment

python -m venv venv

3. Activate the environment

For Windows Command Prompt:

venv\Scripts\activate

For PowerShell:

Set-ExecutionPolicy -Scope Process -ExecutionPolicy Bypass
.\venv\Scripts\Activate

4. Install dependencies

pip install -r requirements.txt

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▶️ Running the Application

Without GUI (Simple Prediction)

python prediction_wo_gui.py

With GUI or Full Webcam Prediction

python final_pred.py

To Collect New Data (Optional)

python data_collection_final.py

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📁 Files Description

• cnn8grps_rad1_model.h5 – Pre-trained model for gesture recognition
• prediction_wo_gui.py – Predicts signs from webcam without GUI
• final_pred.py – Predicts signs with GUI and advanced features
• data_collection_final.py – Script to collect new gesture data
• requirements.txt – Python dependencies

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📷 Notes

• Ensure webcam is connected
• If you encounter errors, check for missing modules and install them using pip

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✅ Status

Project is functional and tested with pre-trained model.

Feel free to improve the model or extend the gesture set!