Many studies were presented to help people with deafness and aphasia. This work tried to shorten the distance between existing researches and a usable or more realistic product. This work developed a system that consists of a glove that converts Arabic sign language into visual Arabic alphabets and some essential words needed by the deaf person to communicate with others in an easy way. It includes a sensor that automatically measures SPO2 (blood oxygen level) and heart rate. The measurements would be shown in the mobile application by employing a Bluetooth module over wireless communication if the deaf individual signed a word indicating that he was ill. It includes NFC (Near Field Communication) technology, which helps the deaf people put their essential data, like their LinkedIn, phone number, address, Facebook, and Instagram, where NFC is considered to be the gate for them to share their data easily without any problems. The proposed system will benefit deaf persons in the communication process and take advantage of the wearable biosensors that will display the measurements of the SPO2 and HR of the deaf person whenever he feels ill. This work presented 21 Arabic essential words and more frequently used ones in addition to the Arabic alphabets. For a tested 20 alphabets and words from those built in this proposed system, the accuracy of these tested trials was found to be 85% correct output and 15% wrong output.