The goal was for students to create an optimized OR scheduling system for St. Luke’s University Hospital using machine learning algorithms. The original manual scheduling process, based on surgeons' experience, often resulted in inaccurate surgery time predictions. The students implemented several ML models, including Linear Regression and Gradient Boosting, and selected a linear regression model with the strongest r² value to improve surgery time predictions.
In collaboration with Technology Consulting professionals from one of the largest Accounting and Consulting firms, Ernst & Young, team members were tasked with finding a way to use recently innovated LLMs, like ChatGPT, to “leverage human capital” and make consultants more effective and efficient in their day-to-day jobs.
The group worked on a project called "Sales Wizard," which aims to streamline the sales process for Vistacom by integrating with Microsoft Dynamics Customer Relationship Management (CRM) systems. The application allows salespeople to generate quotes, collect site parameters, manage projects, and send information to CRM. They introduced new features to improve information gathering and overall user experience, making the tool ready for live use.
The Miniature Driverless Car capstone project focused on developing advanced technologies for remote and autonomous control of a 1/10th scale RC car. The team built on previous work, designing and implementing two software architectures on Nvidia Jetson Orin and NX, and enhancing the hardware with custom 3D-printed components and a suite of sensors. This project successfully created a platform for future teams to compare software implementations for autonomous vehicle control, laying the foundation for further exploration in the field.