Ayaan Khan, an 18-year-old computer science student at Scaler School of Technology, has developed a hand gesture control system for PC racing games using Python, OpenCV, and MediaPipe. This innovative system allows gamers to steer virtual cars by making various finger gestures in front of a webcam, offering a novel approach to gaming immersion. Ayaan's project originated from his high school days, driven by his passion for blending technology with gaming. His creation uses Python scripts for hand tracking and game control, integrating OpenCV for computer vision and MediaPipe for pose estimation. Ayaan's LinkedIn post about the project gained viral attention, accumulating over 5 million impressions and 21,000 likes. Beyond gaming, he aims to apply his coding skills to develop a sign language translation model using TensorFlow, aiming to benefit the deaf and hard-of-hearing community. Ayaan's journey underscores the potential of creative coding and the impact of integrating technology with personal passions in fostering innovation from an early stage.

Source- Special Agreement