IdentifiEye is designed to enhance the social interaction capabilities of individuals affected by prosopagnosia, commonly known as face blindness. Affecting exactly 3.08% of the American population (300 million people globally), prosopagnosia impedes the ability to recognize faces, leading to social challenges. IdentifiEye glasses utilize cutting-edge facial recognition and augmented reality technologies to help users identify faces, thereby improving their social confidence and ability to form meaningful connections. Within this project, I implemented the use of various face recognition API, detection models, as well as back-end storage system which allowed for the development of the application and glasses that are being used hand-in-hand. More specifically, this application will scan and save a photo and important tags, information, or voice memos into the AWS backend system which can be accessed in any future situations or interactions to remember for future use. The face recognition software that was trained and tested within the application has a cloud storage and recognition system which achieves over 99% in face recognition accuracy. Creating this application that is tied within glasses will allow for a significant increase for memorable social interactions that will change the lives of hundreds of millions of people globally.