Sign_Language_CNN_Prediction

The overall objective of the work is to develop model to preditc sign languages from the user.

Objective

Communication with those with hearing disabilities is crucial; a computer's ability to recognize and interpret these signs will make life easier. Ths is an image-to-text machine learning model using state-of-art models.

Steps to Run

1. Clone this repo
2. You need to use Google Colab, set up your Google Colab with the folder names like image below
3. Put the p3_deep_learning.ipynb file from this repository to the p3_deep_learning folder in your Google Collab: https://github.com/yuxiaohuang/teaching/blob/master/gwu/machine_learning_I/spring_2022/code/utilities/p3_deep_learning/pmlm_utilities_deep.ipynb
4. Get your Kaggle Api Key and have it at hand.
5. Run ML1_Final_Project.ipynb
6. Ignore the Predictions tap :)

Machine Learning Algorithmss:

• Convolutional neural model.

Description of files:

ML_Final_Project.ipynb: the files contains the data preprocessing, modeling and the user input to test our cnn model. ML1_ProjectPresentation_Group2.pptx: a powerpoint presentation of our insights, recommendations and models results.