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Image Recognition System

Build an image recognition system using Python, Deep Learning, Convolutional Neural Networks (CNNs), and TensorFlow. This project involves training a model to recognize objects or patterns within images. Implement CNNs to capture hierarchical features and achieve high accuracy in image classification. Provide a user interface that allows users to upload images for recognition, displaying the top predictions and confidence scores. TensorFlow facilitates efficient model training and deployment. This image recognition system is applicable in various domains, including security, healthcare, and automation. Explore the demo link to experience the accuracy and versatility of this image recognition solution.