Tinker Hunt

Abstract

With tech taking over most of the life process in recent times, primary education still lacks interactive processes using technology in the process of “Learning by Doing”. Most of the Ed. techs offer visual learning with no or near-to-zero input by children. Tinker Hunt can be a possible and one of its kind of interactive learning application used to tackle the same. A rough sketching input by children can yield results over the internet in the form of pictures, detailed information, etc. Tinker Hunt is created using Google’s QuickDraw Dataset, using hundreds of sketch patterns for multiple categories of icon-level doodles, collected from hundreds of individuals that are recognized by CNN trained model. Also, the app is tested for high accuracy in sketch recognition and categorization. Key Word: Machine Learning; QuickDraw Dataset; Interactive Learning; Convolutional Neural Network; Artificial Neural Network