mcdomx,Mark McDonald,github

chatterbox

A simple chat application demonstrating basic HTML, CSS, Flask and Internet messaging using sockets.

Fashion-related items are segmented from images using Mask RCNN. Segmented objects are identified based on a large dataset provided in a Kaggle competition. An existing implementation of the Mask RCNN model is modified to apply to this project. This project was the result of a group effort for my course in Computer Vision.

config-repo

Configuration Repo for E57a

coviddata

Swift Package that manages the collection and core data access to global and US data statistics

cs109a_finalproject_group20

Final project for CS109a - Spotify song recommender

cs109b_groupproject

Final group project for Advanced Data Science class at Harvard. Data available at the beginning of various large NYC capital projects is used to determine how likely the initial project budget and timeline will be after 3 years. This project compares various prediction methodologies as well as data engineering to find a latent reference class for the projects.

eugreendeal

Harvard Software Engineering degree capstone group project. Our team was tasked by an EU Commission department to build a template which consolidated complex and diverse sources of data into an easy-to-understand front-end designed for EU Commissioner staff members. The effort focused on air pollution.

garflop

Garmin File Operations Utility

garflop-java

ios_templates

How-To's and personal documentation for IOS elements

marks-covid-tracker

Various interactive charts are presented to the user show pertinent country-wide, state and county-level trends in the spread of COVID-19 in the US. This project uses Bokeh to build visualizations, Django to host the web pages, and JavaScript for user interactivity.

mcdomx.github.io

Mark McDonald Source Page

monitor

The Traffic Monitor application will detect objects in a video feed and log, report and chart instances of objects that are recognized. A variety of objects can be selected for tracking as well as the source of the video stream.

pathfinder

Using Keras and OpenCV, Pathfinder will highlight a navigable path on a video of off-road terrain. The model was trained on a small set of publicly available data that was augmented to produce a useful set of training data.