• Engineered a deep learning model to recognize sign language gestures from images, improving communication accessibility for the hearing-impaired by achieving a 90% recognition accuracy.
• Leveraged Convolutional Neural Networks (CNN) with TensorFlow and OpenCV to enhance gesture recognition, driving advancements in the assistive technology domain.