This paper presents a Smart Assist System Module for Paralysed Patients using IoT applications. The system is designed to assist individuals with hearing impairments or paralysis by translating sign language gestures into text and enabling communication through an IoT-based mobile application. The system uses smart gloves equipped with sensors, including flex sensors, accelerometers, and pulse sensors, to detect hand movements and translate them into text. The Arduino microcontroller processes the sensor data and sends it to a mobile IoT application, which displays the text and provides real-time biological data such as pulse and temperature. The system also enables home automation for individuals with physical limitations, allowing them to control electrical appliances using simple hand gestures. The system is designed to be low-cost, compact, and user-friendly, making it accessible for people with disabilities. The system has been tested with various scenarios to ensure accurate translation of sign language gestures into text. The results show that the system can effectively translate sign language into text and provide real-time biological data, helping individuals with disabilities to communicate more effectively and improve their quality of life. The system also supports home automation, reducing the dependence of paralyzed individuals on others. The study highlights the potential of IoT-based systems in improving the lives of people with disabilities by providing them with tools to communicate and manage their daily activities more independently.This paper presents a Smart Assist System Module for Paralysed Patients using IoT applications. The system is designed to assist individuals with hearing impairments or paralysis by translating sign language gestures into text and enabling communication through an IoT-based mobile application. The system uses smart gloves equipped with sensors, including flex sensors, accelerometers, and pulse sensors, to detect hand movements and translate them into text. The Arduino microcontroller processes the sensor data and sends it to a mobile IoT application, which displays the text and provides real-time biological data such as pulse and temperature. The system also enables home automation for individuals with physical limitations, allowing them to control electrical appliances using simple hand gestures. The system is designed to be low-cost, compact, and user-friendly, making it accessible for people with disabilities. The system has been tested with various scenarios to ensure accurate translation of sign language gestures into text. The results show that the system can effectively translate sign language into text and provide real-time biological data, helping individuals with disabilities to communicate more effectively and improve their quality of life. The system also supports home automation, reducing the dependence of paralyzed individuals on others. The study highlights the potential of IoT-based systems in improving the lives of people with disabilities by providing them with tools to communicate and manage their daily activities more independently.