Seamless Interaction through Gesture Recognition: Integrating Virtual Canvas, Keyboard, Calculator And Mouse with Voice Assistance on a Unified Platform

This paper discusses the project ‘Seamless Interaction through Gesture Recognition,’ which is a system designed for the human-computer interaction without touching any tool, it simulates it virtually through three gadgets: a gesture-controlled mouse with voice recognition facilities, an air-based keyboard, calculator and a drawing canvas. In order to interpret the hand movements, gestures, and voice commands that are captured by the webcam and microphone, the system applies computer vision, machine learning, and speech recognition technologies. Hand motions made by the virtual mouse communicate to the computer what actions are to be done and where to locate the cursor. Additionally, the computer recognizes the voice commands which are an aide to such usage. The virtual keyboard, on its part, suggests finger positions through the air as keystrokes, virtual calculator processes a calculation based on hand gestures, and the virtual drawing tool is the one that notices the hand actions that it changes into digital artwork. All of these were developed by the OpenCV and MediaPipe frameworks, the programs that allow correct real-time hand tracking and gesture identification. The findings are a valuable contribution to computer interaction formation, which can lead to a decrease in the use of physical interaction devices and a shift to more natural interaction methods.