GitHub - TUSHAR-CMD27/Handwritten-Character-Detection-using-CNN: This project is a Handwritten Character Recognition System using CNNs to identify digits (0-9) and uppercase letters (A-Z) from 28×28 grayscale images. Trained on an EMNIST dataset of handwritten characters, the model predicts new inputs accurately after preprocessing and normalization.

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About

This project is a Handwritten Character Recognition System using CNNs to identify digits (0-9) and uppercase letters (A-Z) from 28×28 grayscale images. Trained on an EMNIST dataset of handwritten characters, the model predicts new inputs accurately after preprocessing and normalization.