Virual Oral Presentation Slide by Slide

IEEE/ICACT20260043 Slide.12        [Big Slide]	Oral Presentation
	Lets break that pipeline down. In Stage 1, we capture live video using OpenCV and use the MediaPipe framework to detect hands and extract 21 landmarks per hand. In Stage 2, we normalize these raw coordinates to a -1 to 1 range and pad them for consistency. In Stage 3, our custom FFNN predicts the sign class from the processed vector, and the output is overlaid on the video feed in real-time.

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