Project Overview
The Lumberjack Balancing project aims to automate the faculty workload analysis process for Northern Arizona University. By parsing CSV files and using an algorithm, the system generates a color-coded sheet to simplify the review of teaching loads. This solution saves time, reduces manual errors, and improves efficiency, making it easier for faculty to manage their responsibilities. Built using Python and Pandas, the tool offers a reliable and scalable approach to streamline workload management.
Original Project Proposal
Sample Report Preview
Our Team
Cristian Marrufo
Release Manager
Architect
Riley Burke
Team Leader
Coder
Sergio Rabadan
Website Manager
Recorder
Braden Wendt
User Experience Lead
Communications
Our Sponsor
Sponsor Name: Scot Raab
Company: Northern Arizona University
Roles:
Associate Dean, College of the Environment, Forestry, & Natural Sciences
Associate Professor, Physical Therapy & Athletic Training
Milestones
- User Interface
- Data Processing Algorithm
- Report Generation
- Testing & Validation
- User Manual
- Final Report