Coffee Market Tracking System w/ Database Systems

A client-server interaction app is available for tracking the coffee market database using Node JS. The back-end, SQL server, was programmed to self-cascade in response to changes in the schema using SQL Server, and the front-end was connected to the SQL server visualized through usage of HTML, CSS, and JavaScript. The authentication security was enhanced by using salting and hashing verification methods for login.