Learn how to build and test a simple object detection application using Python, AI, and machine learning. Follow the practical steps to install the required packages, run the project, detect objects in images, and understand bounding boxes, labels, and confidence scores.
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Learn how to build a Handwritten Digit Recognition system using Python, TensorFlow, CNN, and the MNIST dataset. Download the complete project, train the AI model, and test it using an interactive drawing canvas.
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