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Computer Vision
AI powered Hand Gesture Recognition
Recognizing various hand gestures for human-computer interaction using computer vision.

Project Overview
Developing a system to interpret human hand gestures, enabling intuitive control and interaction with digital interfaces.
Technologies Used
PythonOpenCVMediapipeDeep Learning
Methodology
- 1Detecting hands and extracting keypoints using libraries like MediaPipe.
- 2Training classification models on gesture datasets (e.g., CNNs, SVMs).
- 3Real-time gesture inference from camera input for interactive applications.
- 4Implementing gesture-based commands for various functionalities.
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