Sign Language Detection and Translation Project

Objective

The primary goal of this project is to develop a full-stack data science application capable of real-time sign language detection using a webcam.

Current Status

Overall Progress:

• Planning Phase: Defined project objectives and initial architecture.
• Data Collection: Data collection using webcam and OpenCV

Next Steps

• Model Development: Begin building and training computer vision models for sign language recognition.
• Integration: Connect the backend model with the frontend UI for real-time detection and translation.
• Testing and Validation: Perform extensive testing to ensure accurate detection and translation of sign language gestures.

Libraries Used

• TensorFlow: Deep learning framework used for building and training machine learning models.
• OpenCV: Computer vision library used for image and video processing.