This project aims to resolve the American Sign Language classification task using deep and machine learning algorithms. The CNN model has been taken from this project: https://www.kaggle.com/code/madz2000/cnn-using-keras-100-accuracy/notebook - to compare its performance with several machine learning algorithms like k-Nearest Neighbors, Logistic Regression and Random Forest classifier, which have been implemented in this project.
You can download the dataset from this link: https://www.kaggle.com/datasets/datamunge/sign-language-mnist
It is an American Sign Language, which looks like this:
You may read the report to see our results and try to reproduce them.
Good luck!