NASA astronauts perform maintenance and assembly procedures, which contain many complicated steps that are difficult to follow. As a result, astronauts are required to contact ground control for guidance. This poses a significant issue for future space exploration missions that require traveling to farther locations. For example, as astronauts prepare to head towards Mars, communication delay with ground control could take up to 20 minutes. With the help of NASA’s Ames Research Center, Project Argus utilizes Machine Learning and Computer Vision concepts to develop a system that can track and validate each step of a procedure performed by an astronaut. The system will communicate with various cameras both located throughout the workstation and on the individual to perform object detection and template matching.