Sketch Classification Using Cnn To Help Reduce Language Barrier

Abstract

The main concept or idea behind the project is to create an application which enables you to track the hand movement, while you are drawing a sketch using a highlighted cursor in front of the camera and the machine learning model using CNN tries to configure the sketch and present you the image which is most significant to the pixels traced by the hand movement. This will not only help reducing the language barrier between people using different language as images are one of the best and efficient way to communicate, but also help people who are differently-abled to communicate effectively using sketch made by hand movement.