Project Overview

Provide a visualization of Cyride movement through a UE (user equipment) device that transmits its location and connectivity when in range of given base stations (signal towers). This is called ARA and provides a wireless network to track locations. When outside of that range, it will predict the movement using GPS locations and machine learning. The application will show which method is being utilized, providing insight into the tracking methods so users can have accurate connectivity data.

Team Members

Evan Schlarmann

Programmer

Senior majoring in Software Engineering and minoring in Cyber Security

Endi Odobasic

Programmer

Endi: Software engineer by day, outdoor enthusiast by choice. Whether coding or carving slopes, kicking a ball or cooking up a storm, he finds joy in both the digital and physical realms, embracing the balance of work and play.

Andrew McMahon

Programmer

Hello! I'm Andrew McMahon. I'm currently a Senior majoring in Software Engineering with a minor in Music.

Braden Buckalew

Programmer

Braden Buckalew

Major: Software Engineering

Minor: Cyber Security





Weekly Reports

Report 1
Report 2
Report 3
Report 4
Report 5
Report 6
Report 7
Report 8
Report 9
Report 10




Design Documents

Design Document Introduction
Design Document Requirements
Design Document Project Plan
Design Document Design
Final Design Document




Lightning Talks

Lightning Talk 1
Lightning Talk 2
Lightning Talk 3
Lightning Talk 4
Lightning Talk 5
Lightning Talk 6
Lightning Talk 7




Other Documents

Task Breakdown
App Documentation
Machine Learning Selection Process & Documentation