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Lip reading using TensorFlow, OpenCV, and Keras involves training a deep learning model to recognize spoken words by analyzing lip movements from video frames. The process starts with OpenCV for capturing and preprocessing video frames, focusing on the speaker’s lips. These frames are then fed into a neural network built using Keras and TensorFlow.
Deep Learning-Driven Leaf Photo Analysis for Plant Disease Prediction is an innovative deep learning project that harnesses the power of Convolutional Neural Networks (CNNs) to revolutionize plant disease prediction.