cnn_handwritten_chinese_recognition

Provides a browser-based drawing interface that captures user input directly, making it easy for users to write characters without additional tools, as shown in the demo GIF.

Uses a custom three-convolutional-layer CNN trained on the CASIA-HWDB dataset, optimized for 3,755 common Chinese characters, demonstrating a tailored deep learning approach.

Integrates image processing with PIL, model inference with TensorFlow, and web communication with Flask, showcasing a complete ML pipeline from input to prediction.

Sends recognition predictions back to the web interface asynchronously, ensuring a smooth user experience without page reloads, as described in the feature list.