Machine Learning Based Authoring Recorder

ML-based Test Authoring Recorder is a software tool designed to simplify website testing by automatically recording and replaying user interactions. Developed as part of an engineering capstone project, this application captures actions such as clicks, scrolls, and inputs on websites, converting them into test cases that can be replayed to ensure website functionality.

What sets this tool apart is its ability to work with both traditional websites and more complex, image-based sites. For traditional sites, it uses standard methods to detect user actions. For image-based sites, it employs advanced machine learning models to recognize and interact with visual elements, even when these elements are not directly accessible through conventional coding methods.