This Classifier Recognizes the characters in the Devnagri script using Convolutional Neural Network. It achieved a 96.6% accuracy on test set.
Complete Devnagri Compiler Script contains the whole compiler model from loading the images to preparing the dataset and compiling the model to checking the test set accuracy.
Test Model Accuracy Script contains all the parameters preloaded, the user only has to compile the script to check the the test set accuracy.
Devnagri Visual Output Script contains the Visual Output Link for the user. The user just has to upload the Devnagri Character Image and the compiler will predict the corresponding character in the entered image.