Name: Jordan Blackadar
Type: User
Company: Datanomix
Bio: Edge Software Engineer @ Datanomix
Wentworth Institute of Technology 2021 Computer Science and Applied Math
Location: Nashua, New Hampshire, United States
Blog: https://www.blackadar.io
Jordan Blackadar's Projects
Simple resiliency test for an Actuator connected to a Raspberry Pi
AirPlay 2 receiver
Web resources for beshawconstruction.com
Humidity sensitive kettle timer
Control the IR and RF interfaces within Broadlink RM devices.
Chat Server and Client
Wentworth Calculus II Derivatives with CS
Django interface and report generator for school attendance and missing work tracking.
Dotfiles for *nix machines
Wentworth Institute Image Processing 3800 Final Project
Java 2D network game, with Server and Client.
Miscellaneous scripts and what-not (TM).
Open Source Telnet Smart Home Protocol for DIY projects.
Java Server and Client application to survey a group of people and display live updating results to a bar graph.
Functions related to Knee Osteoarthritis research at Wentworth Institute of Technology.
Machine Learning Analysis of Foot Traffic using Wireless Devices
'Security of Mind and the System'
Shepherd is a service which organizes and monitors distributed computing resources over a network. Providing a web frontend to a system administrator, the Shepherd monitoring service will receive updates on system status from fixed interval heartbeats from each system. The web frontend will allow the system administrator to monitor device health and view automatically flagged abnormalities in system performance of their network. Records of performance will be kept, providing analytics over time for the network.
Machine Learning voice classification using scikit-learn RandomForest model.
Generates all subsets of letters from a given length
This is a sample Github repo for software engineering projects
Wentworth Computer Science 2 projects.
Graphical interface for visualizing the labels assigned to human hand X-Ray scans. Collaboration with Tufts Medical Center for Machine Learning algorithms to detect progression of osteoarthritis.