“A Machine Learning Solution for Seamless Communication with the Deaf and the Mute" This project aims to develop a machine learning model integrated into an application that can recognize and translate hand signs into text to assist deaf people in communicating more easily. The ML model will use computer vision techniques to capture and interpret images of hand signs made by the user, and then apply machine learning algorithms to convert them into text. The system is designed to be user-friendly, accurate, and accessible to a wide range of users. The project will involve developing and training the machine learning model on a large dataset of hand sign images, optimizing its performance, and integrating it with a user-friendly interface that is accessible and intuitive for deaf individuals.