Visualising Chemistry Experiments Using NLP and Computer Graphics

One of the key methods of learning that has proven to be effective is visual image learning. Humans are capable of grasping a visual scene in less than 1/10th of a second. This project, named GENTUTE (Generation of tutorial from education material), aims to help students understand subjects better through interactive, visual tutorials.GENTUTE intends to transform content into a series of visuals starting with chemistry experiments from high school. To do this, the experiment is provided as input in the form of text. It is then divided into discrete steps. Different attributes from the experiment have been extracted using a variety of NLP approaches. The Computer Graphics module then receives the necessary attributes for tutorial synthesis and uses the labelled dataset’s suitable images to create a meaningful lesson that almost exactly represents the origin segment. The entire website provides users with a pretty straightforward user experience while abstracting both the computer graphics and NLP modules.