Sign language, which is a medium of communication for deaf and mute people, uses manual communication and body language to convey meaning, as opposed to using sound. In this system, we are proposing a hand-wearable device by which deaf and mute people can communicate with normal people through the glove. The National Institute of Speech and Hearing (NISH) recently introduced Signs for Malayalam Alphabets. The Malayalam Sign Language alphabet is distinguished by this wearable system combining five flex sensors, a three -axis MPU sensor, an Arduino nano microcontroller, and a WiFi--BT--BLE MCU module. The glove tracks hand and finger movements through sensors, sending data via Wi-Fi to a mobile app that converts it into text and audio. The RTOS enables concurrent task management with deterministic timing, ensuring efficient operation of multiple functions like sensor data acquisition, gesture interpretation, and communication. The system emphasizes dataset creation for this newly formed sign language, training a model using Support Vector Machine (SVM) to recognize these signs, and integrating the model into a flutter application for ease of access.