The paper presents a smart assistive system module designed for individuals with paralysis, focusing on improving communication and daily living through the use of IoT applications. The system is centered around a glove equipped with sensors and an Arduino microcontroller, which translates sign language gestures into text. Key components include flex sensors, an accelerometer, and pulse sensors, which collect data on hand movements, finger flexion, and biological indicators like pulse and temperature. The microcontroller processes this data and sends it to a mobile IOT application via a WiFi module, allowing users to receive text messages and monitor their health. The system also supports home automation, enabling users to control appliances with simple hand gestures. The authors conducted several test cases to validate the system's effectiveness, demonstrating its ability to accurately translate sign language into text and provide real-time feedback. The system is designed to be low-cost, lightweight, and easy to use, aiming to enhance the quality of life for individuals with disabilities.The paper presents a smart assistive system module designed for individuals with paralysis, focusing on improving communication and daily living through the use of IoT applications. The system is centered around a glove equipped with sensors and an Arduino microcontroller, which translates sign language gestures into text. Key components include flex sensors, an accelerometer, and pulse sensors, which collect data on hand movements, finger flexion, and biological indicators like pulse and temperature. The microcontroller processes this data and sends it to a mobile IOT application via a WiFi module, allowing users to receive text messages and monitor their health. The system also supports home automation, enabling users to control appliances with simple hand gestures. The authors conducted several test cases to validate the system's effectiveness, demonstrating its ability to accurately translate sign language into text and provide real-time feedback. The system is designed to be low-cost, lightweight, and easy to use, aiming to enhance the quality of life for individuals with disabilities.