Communication barriers significantly affect speech- and hearing-impaired individuals in their daily lives. Traditional sign language communication requires the listener to understand sign gestures, which limits interaction with the general public. This paper proposes a Sign Recognition and Voice Conversion System using Internet of Things (IoT) technology to bridge this communication gap. The system utilizes touch sensors to represent predefined sign gestures, which are processed by a NodeMCU (ESP8266) microcontroller. When a sensor is activated, the system converts the sign into a voice output and simultaneously sends a notification to caregivers via Firebase cloud. Additionally, a DHT11 temperature sensor monitors environmental conditions and displays the readings on a 16x2 LCD screen. The integration of IoT ensures real-time monitoring and remote communication through a mobile application. The proposed system is cost-effective, portable, and easy to use, making it suitable for elderly and physically challenged individuals. The implementation demonstrates how simple sensors combined with cloud technology can create a reliable assistive communication system.