SPAM-Employee-burnout

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.
INSTRUCTIONS
Download the dataset provide named as train.csv
Download the backend and UI folder
Backend contains all the java servelets that needs to be connected to your UI
Use Eclipse to run all the servelts
Open Visual Code and start Npm; This will create a new app
Replace the src folder with the UI -> src folder provided
Start the npm again
Enjoy the experience