Sign language was used as a means of communicating many centuries ago. Learning sign language can be problematic and confusing for ordinary people, where most of them do not have the basics of the word. This paper aims to create a smart glove, which consists of a hardware-based glove complemented by a mobile application to help regular people learn Malaysian Sign Language (MSL) themselves. This differentiates this project compares to most other literature that focuses on translating MSL. The glove uses a microcontroller such as Arduino as a processor and an accelerometer as a sensor to recognize hand gestures defined by alphabet, number, and several Malaysian Sign Language words. The hand gesture data will be sent to the mobile application via Bluetooth communication. The mobile application built using MIT App Inventor will provide suitable questions and provide feedback to the user. In the result and discussion, the accuracy of the prototype is discussed. The effectiveness of the prototype as a learning tool is not discussed in this paper as the paper tries to fit within the scope of the journal. Having said that, the potential of the prototype for further improvement and a more detailed study from the perspective of learning theory needs to be studied to gauge accurately the effectiveness of the prototype as a learning tool
