An Indian Sign Language Translator, created with the aim of achieving near-real time outputs, along with background and illumination independence.

IndianSign Language Detection, Used Transfer learning technique to detect the Indian Sign

Developed a gesture recognition system for Indian Sign Language (ISL) using Convolutional Neural Networks. Designed to bridge communication gaps between the hearing impaired and normal individuals, facilitating effective interaction.

Real Time Indian Sign Language Recognition System Using CNN

Indian Sign Language A-Z alphabets classification with Custom CNN and Resnet50

DivyaAnuvadak - A project that is able to convert Hand Gesture to corresponding equivalent Text.

Developed an Indian Sign Language detection model integrated with a Flask app, enabling real-time gesture recognition and user-friendly interaction for accessible communication.

This is a Sign Language Recogniser system that is based on the RNN machine learning model, deployed on RaspberryPi 4.The entire project is coded in Pytho programming language.It recognises sign language words based on Indian Sign Language.The code includes recognising the sign language by taking input from camera and displaying text on LCD screen.