Lois Konadu

• Provided guidance and support towards helping residents develop life skills necessary for independent living.

I worked on a capstone project titled Virtual Fitting Room, where my team and I developed a mobile application using Flutter that leverages machine learning to predict a user’s body measurements from photos. The goal was to assist a tailoring company in providing more accurate clothing fits without requiring customers to be measured in person. I contributed to building the front-end interface using Dart, integrating user-friendly components for photo upload and measurement display. Our team collaborated to integrate a machine learning model trained on image data and user inputs such as height and weight. I also worked on handling model accuracy issues and refining how results were displayed to improve user trust and clarity. The project deepened my understanding of machine learning integration in mobile apps, user experience design, and cross-functional teamwork.

• In another course focused on computer graphics, I collaborated with a small team to create Maze Crawler, a 3D game that challenged players to navigate through a procedurally generated maze. This project was developed using C++ and emphasized implementing key computer graphics concepts such as lighting, shading, and camera controls to build an engaging environment. My contributions included programming core mechanics like player movement, collision detection, and win conditions, as well as optimizing rendering performance. This hands-on experience allowed me to explore real-time rendering, algorithmic maze generation, and gameplay interaction design, strengthening my skills in graphics programming and game development.