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Real - Time Hand Sign Detection
Project type
Computer Vision / Machine Learning System
Built a real-time hand gesture recognition system using OpenCV and MediaPipe with a trained classification model. Detects hand landmarks and classifies gestures to enable intuitive human-computer interaction. Designed to be scalable for applications like sign language recognition and automation.
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