Comprehensive Gestures and Voice Driven Input System

Comprehensive Gestures and Voice Driven Input System

Sarika1, Usha M2

1 Student, Department of MCA, Bangalore Institute of Technology, Karnataka, India

2Assistant Professor, Department of MCA, Bangalore Institute of Technology, Karnataka, India

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Abstract - In modern times, technology is an integral part of our life. The goal of this Comprehensive Gestures and voice Driven Input System is to create a real-time program that gathers through movements of the hands and turns them into digital art. The project seeks to create a user-friendly and accessible interface for computer-human interaction using OpenCV, Mediapipe, and Python with all of its many packages. To accomplish its goals, the project's main focus is on palm identification and color tracing algorithms. The device follows the user's finger movements using computer vision, allowing users to compose themselves or draw in the air. The innovation holds enormous potential for many applications, including facilitating system communication and reducing the requirement for traditional devices like laptops.

The project also investigates the creation of a voice-controlled assistant, a modern tool that is frequently utilized to improve human-computer connection. Many products have voice assistants built in. By merging all of these technologies, the effort hopes to develop a flexible system that can translate motions into text and recognize them, enabling unique forms of interaction and involvement.

Key Words: Machine learning, OpenCV, Mediapipe, hand gesture recognition, air writing, voice assistant, human-computer interaction