# SPAM-Employee-burnout <img src="https://github.com/MansiRaj/SPAM-Employee-burnout/blob/main/ui.png" width="800" height="450"><br/> We connected thousands of employee data through Java back-end, rendering it on our UI. We also built a dashboard replete with graphs and a progress bar, based on analytics performed using various Python libraries. Apart from the analytics, we also built a Machine-learning model (Random Forest ) to predict the employee's burnout rate, which we were able to do with greater than 90% accuracy. We connected all our modules, displaying it on a user-interface built using ReactJs. <br> INSTRUCTIONS <br> Download the dataset provide named as train.csv <br> Download the backend and UI folder <br> Backend contains all the java servelets that needs to be connected to your UI <br> Use Eclipse to run all the servelts <br> Open Visual Code and start Npm; This will create a new app <br> Replace the src folder with the UI -> src folder provided <br> Start the npm again <br> Enjoy the experience