About the Project

The Sign Language Detection System is a computer vision-based project aimed at recognizing and interpreting sign language gestures in real-time. It facilitates communication between individuals who are deaf or hard of hearing and those who do not understand sign language, promoting inclusivity and accessibility.

Steps

• Data Collection base on this ref

# run dataCollection.py to collect data
python dataCollection.py

• Train model using

Teachable Machine

• Run model

python test.py

Further Development Ideas

• Mobile Application Development: Create a mobile application version of the system to reach a broader user base and facilitate on-the-go communication access.
• Gesture Synthesis: Develop capabilities for the system to synthesize sign language gestures into text or speech, enabling bidirectional communication between sign language users and non-users.