The project provides a deep learning-based alternative to tesseract specifically for Chinese character recognition. It uses convolutional neural networks trained on Caffe to recognize individual Chinese characters from images. The system includes scripts for batch recognition and supports training custom character models based on published deep learning research for handwritten Chinese character recognition.