Implemented a machine learning model using tensorflow , Keras and NN(neural networks) in python.
In the jupyter notebook created a model along with gui using tkinter.
Dataset for digit is imported from keras and dataset for character is downloaded from https://www.kaggle.com/datasets/sachinpatel21/az-handwritten-alphabets-in-csv-format
DIGIT dataset - rows:70,000 columns:784
ALPHABETS dataset - rows:370000 columns:784
for the clash of first charcter(A) and first-digit(0) we have created a dictionary.
dictionary = ['A','B','C','D','E','F','G','H','I','J','K','L','M','N','O','P','Q','R','S','T','U','V','W','X','Y','Z','0','1','2','3','4','5','6','7','8','9']