Penpal is a web application that helps people who are injured and disabled spell. It utilizes an Arduino Uno, accelerometer, gyroscope, and software to write letters. 
Using the measurements derived from the hardware, we approximate the position of the finger in space. We then utilize OpenCV to preprocess the data and draw the air hand-drawn letters to a pixelated grid. The pixelated image is resolved into a 28 by 28 pixel image and fed into a trained a Neural Network trained on the EMIST dataset that achieved 85% accuracy.
We employ WebSockets in Socket.io to connect our Flask backend and React.js/Next.js frontend in order to get real-time updates in statistics.
