This project was built for two target experiences- as a presentation tool and as an accessibility tool. As a presentation tool, it excels of keeping a presenter from needing to hide themselves behind a computer in order to do anything from it. In front of large audiences, being able to control the mouse by pointing, type with sugn language, and scroll with two fingers completely changes the way tech can be utilized in a presentation. As an accessibility tool, though it is not particularly helpful to the deaf community (typing is faster), it is helpful to be able to type from farther away, and it is very intuitive to point to the screen with your finger instead of touching it or using a mouse. The project began with a motion capture glove to isolate the gesture recognition techniques from stable motion data and then transferred onto a pre-trained computer vision model.