Spoken language is the prevalent way of communication. For deaf and dumb people, it becomes impractical to implement. So, they use sign language for communication which is not a prevalent communication medium for normal people. It leads to a communication barrier between signers and non-signers.  Smart gloves for sign language vocalization are a research project that aims to present an easy communication medium for signers and non-signers. In this research project, a wearable sign-to-speech translation system is designed and developed that uses machine learning for classifying different signs and can accurately translate the hand gestures of Sign Language into speech. This research project uses potentiometer to detect bending of fingers and combination of Accelerometer and Gyroscope for hand orientation and movement, and provides a real-time translation of signs into spoken words.