India's population is disproportionately made up of dumb and deaf people. To translate ASL into speech, the system is therefore creating a glove-based device. Only via speech can we convey our thoughts or propagate a message, yet a person with a disability finds it challenging to engage in typical social interactions. To overcome this communication barrier, we are developing a glove that transforms sign language into text and then voice. The basic system is divided into 2 parts recognition of sign language and conversion to text, followed by voice. To carry out this whole procedure, we have trained and tested the dataset for that. The fundamental operation of hand gloves that make up the sign language glove have IR sensors that can detect how the fingers flex and an accelerometer that can detect how the hand moves. The Node MCU receives data from the sensors, converts it to binary signals, compares them to the recorded value for sign detection, and displays the results as text on the mobile display. Deaf or hard-ofhearing people connect with society through sign languages that are challenging for non-deaf or hard-of-hearing people to understand. Communication between deaf-mutes and non-mutes has therefore always been difficult. There are challenging tasks all throughout the world. Those who are deaf or dumb should be able to express themselves better. Since then, they have improved their ability to blend in with their environment.