Gesture Guide: Empowering Deaf and Mute Individuals with ISL Recognition and Guidance System using Hand signs

Indian Sign Language (ISL) is a crucial language used by the deaf and mute community. The paper presents a systematic approach that utilizes Indian Sign Language video as input and converts it into text. By leveraging support vector machines, convolutional neural networks, recurrent neural networks, Media Pipe, and deep learning methods, the proposed system effectively addresses the challenges faced by the deaf and mute community in accessing educational resources and engaging in daily activities. The approach takes a step-by-step, methodical approach to improve the efficiency and accuracy of hand gesture recognition, enhancing accessibility and inclusion for the deaf and mute community.

I. Introduction

Indian Sign Language (ISL) serves as the visual communication mode for the deaf community in India. ISL is not just a method of communication but also serves as a unique cultural identity. For individuals who are deaf and mute, effectively understanding and using ISL is crucial for social interaction, educational advancement, and personal development. Gesture guide aims to empower these individuals by providing an accessible and user-friendly means of recognizing and utilizing ISL through hand signs.