Matt
Ferguson

We develop an application to encrypt and decrypt strings using C++ and the qt framework. Our design employs design patterns as best practice.

Solutions to Project Euler problems. Project Euler is a series of world class math and computer science challenges.

We use computer vision template matching to find the key points of a variety of qr codes. Clever use of machine learning clustering techniques is employed to convert regions of template matches into centroid points.

Here we demonstrate Shi-Tomasi corner detection and Harris corner detection on single images, and contrast the resulting algorithm identified corners.

Here we binarize an image using Otsu's method and inverse thresholding. We then implement Pavlidis contouring to extract the object contour. The least relevent vertices are removed using discrete curve evolution.

Images from the same location are stiched together using keypoint detection, homographic transformations, and linear blending. We perform increasingly challenging panaramic stitching.

Decision tree and random forest on census data to classify reciept of dividents.

A project to predict professional baseball salaries given their batting and run statistics. K nearest neighbors regression is employed.

Data analytics on COVID hospital data.

Data quality reporting for heart disease data.

Here we build a decision tree to classify the edibility of mushrooms using a decision tree.