18-Year-Old Scaler School of Technology Student Develops Innovative Hand Gesture Control for Racing Games

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18-Year-Old Scaler School of Technology Student Develops Innovative Hand Gesture Control for Racing Games
18-Year-Old Scaler School of Technology Student Develops Innovative Hand Gesture Control for Racing Games

 Ayaan Khan, a first-year Computer Science student from Scaler School of Technology, has developed an innovative hand gesture control system for popular PC racing games. By waving fingers in front of a webcam, gamers can control the cars, creating an immersive gaming experience and offering a fresh approach to the genre.

Built using Python, the code leverages libraries like OpenCV for computer vision and MediaPipe for pose estimation. The system translates these captured hand movements into the game’s steering commands for virtual cars.

Ayaan’s creation, inspired by the idea of blending his passion for gaming with technology, highlights the potential of creative coding to enhance user experiences. It also serves as a testament to the value of early exploration in computer science. The teenager’s project demonstrates how students can leverage readily available tools and libraries to turn their ideas into reality, fostering a passion for innovation that can blossom throughout their academic careers. 

Notably, the 18-year-old is also developing a sign language translation model using TensorFlow and Python to bridge the communication gap for the deaf and hard-of-hearing community.