Episimmer is an Epidemic Simulation Framework for Decision Support. It is a highly flexible system that can be easily configured to help take decisions during an epidemic in closed communities like university campuses and gated communities.

This project is a Mongoose implementation of a User model, showcasing various Mongoose features such as validation, methods, statics, queries, virtuals, and middleware. It also includes a separate Address schema and demonstrates its usage.

This project involves automation testing for a Daily Finance site, utilizing Selenium WebDriver for web interactions and TestNG as the testing framework to ensure robust and efficient test execution.