Deep Learning Deaf and Mute System (DLDMS)

Imagine facing an emergency where you can't effectively communicate your needs. For many deaf and mute individuals, this is a daily reality. Traditional emergency systems rely heavily on voice communication, creating a significant accessibility gap. Additionally, relevant authorities often lack specialized systems to identify and respond to emergencies involving deaf and mute individuals.

To address this critical issue, my graduation project, the 911 Deaf & Mute Version, uses AI and sign language translation to bridge this communication gap. This innovative solution enables deaf and mute individuals to convey their entire situation effectively when they need help, ensuring that emergency responders can provide timely and accurate assistance.