GRACE

Gesture Recognition and Access Control Engine

Revolutionizing Human-Computer Interaction for a more accessible, intuitive, and immersive Digital World.

Our Vision

Revolutionary Interaction

Eliminating traditional input devices like keyboards and mouse for a more intuitive computing experience.

AI-Driven Control

Leveraging voice commands and gesture recognition to create a seamless and efficient user experience.

Future-Ready Hardware

Developing compact hardware with holographic keyboard projection for flexible virtual input.

The Problem

Limited Accessibility

Traditional input devices pose challenges for users with disabilities.

Outdated for Modern Tech

Keyboards and mice struggle to keep up with emerging technologies like AR and VR.

Space Constraints

Physical input devices occupy valuable space in increasingly mobile workspaces.

High Latency

Existing solutions often suffer from high latency, impacting user experience.

GRACE: Our Solution

AI-Powered Gesture Recognition

Accurately interprets a wide range of hand gestures using machine learning algorithms.

Voice Control Integration

Combines speech recognition to execute commands, enhancing accessibility and user convenience.

Real-Time Processing

Delivers instantaneous responses to user inputs, ensuring a fluid and efficient experience.

Virtual Interface

Creates an intuitive virtual workspace, eliminating the need for physical input devices.

Hands-Free Interaction

Enables users to control their devices without physical contact, improving hygiene and accessibility.

Holographic Projections

Innovative technology for projecting holographic interfaces, offering a futuristic user experience.

Market Opportunity

Global gesture recognition market is projected to grow from $24.78 billion in 2024 to $169.26 billion by 2032, exhibiting a CAGR of 27.1%.

Advantages and Uniqueness

All-in-One Solution

Combining gesture, voice, and virtual keyboard capabilities.

Affordable and Adaptable

Suitable for multiple industries and use cases.

Enhanced Performance

Outperforms traditional models in various tasks.

Higher Accuracy at Distance

Precise gesture recognition even from afar.

Accessibility Enhancement

Improves digital interaction for users with disabilities.

Low Latency

Real-time interaction with minimal delay.

Our Team

Krishna Shrivastava

Krishna Shrivastava

ML Engineer

Sriram Manwani

Sriram Manwani

ML Engineer

Gaurav Dhakad

Gaurav Dhakad

Full Stack Developer

Gauranshi Gupta

Gauranshi Gupta

UI/UX dev & Project Manager