Graphology is the science of studying an individual's personality traits through handwriting analysis. In this thesis, we have automated the graphology process, particularly automating the pattern analysis of the handwriting and inference of the personality traits. The thesis is based off computer vision techniques to build a pipeline for automated graphology using handwritten text, camera and a microcomputing device. In this work, we consider the intricate details of a handwriting sample, like the size and slant variations, the various patterns formed in the writing of the text as visual features for computer vision training and processing. Our experimental analysis on ~100 users resulted in 90\% overall accuracy of the system in personality trait mapping using the user’s feedback as a baseline for evaluation.