Training and evaluating state-of-the-art deep learning CNN architectures for plant disease classification task.
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Updated
Oct 13, 2021 - Python
Training and evaluating state-of-the-art deep learning CNN architectures for plant disease classification task.
This software has been developed to simulate the digital logic gates. what makes it special is its integration with deep learning to control the simulator using hand gestures
Real-time face and eye tracking using OpenCV/Deep Learning. Drowsiness detection through eye aspect ratio (EAR) and blink frequency. Instant audio/visual alerts when signs of fatigue are identified. Flexible deployment on PC or edge devices. Potential integration with IoT for vehicle safety systems.
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