This app uses machine learning to understand hand-written numbers.

A personal project that applies machine learning proficiency. The app allows users to draw a number on the phone, and using the raw pixels of this drawing as input, the model predicts with high accuracy what the number is.

The project involved:

+ Using the existing MNIST dataset.

+ Applying data augmentation techniques to increase dataset.

+ Developing, training, debugging, and optimizing multiple deep learning models.

+ Deploying the best model to TensorFlow mobile.

+ Developing a backend web API that collects users usage of the app to continue to train the model.

+ Over 20,000 observations have been collected to date from users interacting with the app.

Tools used:

+ TensorFlow

+ Python

+ Apache

+ Node.js

+ Express