sddec23-04 • CLARE: The Lab Availability Tracker
Project Overview
Our project is a lab and classroom availability tracker for Coover Hall. The end goal is a website that tracks lab occupancy and workstation availability with the added context of lab room schedules.Currently, our implementation uses machine learning object detection and computer activity data to provide real-time updates for the status of the Senior Design Lab. CLARE also tracks historical usage data and provides lab schedules for each lab in Coover Hall.
Future work for this project includes expanding our implementation to every room in Coover Hall and adding Canvas integration for our website for ease of use by students. Eventually, CLARE can become a more convenient and cost-efficient solution than LabStats, a subscription-based lab availability tracker.
To view the current LabStats page implementation, click here.
To view documentation for the machine learning algorithm, click here.
To view the dataset intended to be used by the ML algorithm, click here.
Team Members
Joel Neppel
CLARE Website DeveloperMajor: Computer Engineering
Jorge Ortiz
Canvas Integration DeveloperMajor: Computer Engineering
Tyler Rolston
Linux Tracking DeveloperMajor: Computer Engineering
Evan Uhlmeyer
Windows Tracking DeveloperMajor: Computer Engineering
Franklin Sullivan
Machine Learning DeveloperMajor: Software Engineering
Reports
491 Weekly Reports
Report 1Report 2
Report 3
Report 4
Report 5
Report 6
Report 7
Report 8
Report 9
Report 10
492 Biweekly Reports
Report 11Report 12
Report 13
Report 14
Report 15
Report 16
Design Documents
Design Doc [V1]Design Doc [V2]
Presentations
Final Presentations
491 Final Presentation492 Final Presentation
Final Poster
Peer/Instructor Review Meetings
PIRM 1PIRM 2
Lightning Talks
RequirementsProject Plan
Design Plan
Testing Plan