Voice Assistant and Gesture Controlled Virtual Mouse using Deep Learning Technique

The Gesture Controlled Virtual Mouse makes it simple to communicate with a computer using voice commands and hand gestures. The computer requires almost little direct physical contact. All input and output processes might potentially be managed digitally by combining voice instructions with both static and dynamic hand gestures. This study employs state-of-the-art Machine Learning (ML) and Computer Vision (CV) algorithms to recognize hand gestures and verbal commands, and it works without the usage of any additional hardware. It takes use of CNN-like models by utilizing MediaPipe, which is based on pybind11. It has two modules: one that operates directly on hands using MediaPipe Hand detection, and the other that makes use of gloves of any consistent colour.