A Deep Learning Approach to Sign Language Recognition for Speech-Impaired Individuals

This research shows that many people with speech impairments struggle to find employment due to concerns about their ability to communicate with colleagues. To address this challenge, a web application has been created that integrates computer vision and deep learning techniques. The AI-driven application is trained to recognize various signs and translate them into text, facilitating understanding among all users. This work will evaluate different models and select the one with the best performance based on accuracy and minimized loss.