What you see in this video is my robotic hand project that can detect and mimic real human hand gestures—completely hands-free. It was in the making for well over two months, and I built it as a short summary for people visiting my booth at Expo-Science where I represented my school with this project. I walk through how I made it, how it works, and why tech like this might genuinely become part of our lives someday. The whole idea came from my earlier Iron Man hand build. After I finished that project, I kept putting it on because controlling something robotic like it’s another limb is just fascinating—and it made me ask: what if I could control it without wearing anything? So I leaned into Python (which I started teaching myself right before this build) and used a landmark-based tracking system to read finger states. I started with something simple—counting fingers—then used joint and fingertip landmarks to determine whether each finger is open or closed (thumbs work left-to-right instead of up-and-down). From there, I designed a new 3D-printed hand so the servos wouldn’t be permanently trapped in my older build, built a rectangular housing for the electronics, and even revisited the Iron Man arm piece as a clean way to cover the wiring. My biggest takeaway: you learn faster by building, breaking, fixing, and iterating than by only watching tutorials—and this project feels like a stepping stone toward controlling much more complex machines hands-free.