PASSWORD MANAGER WITH USERNAME RECOMMENDATION USING FISHER-YATES SHUFFLE ALGORITHM

Abstract

This system saved the user's username and password so that they could easily remember their account on every page. Additionally, it contains a function that can recommend a username by using the fisher-yates shuffle algorithm. There is also a function on the website that allows users to sign in using face recognition. This function is powered by FaceApi.Js, which contains the MTCNN algorithm. Users will get the benefits from the existence of this system's development because it has made it easier for users to write down a note of their username and password on a more secure platform. This project was developed using the RAD methodology, which prioritizes finishing work in a relatively short amount of time. This methodology is very well suited for this project since the project being developed is not a very large project and is quite flexible due to the fact that there is a prototype stage. This enables developers to redesign the project at the same time without having to return to the initial stage again. The application of the integrated strategy led to the achievement of all planned features in the allotted amount of time and in the correct manner.