The aim of the project was to track the expenses of the hostelers and predict their monthly savings based upon their spending trend. Using exploratory data analytics to analyse the spending trends of undergraduate students living in hostels. Also trained a linear regression model to predict their savings and expenses for the coming months. Written in Python3.6 and deployed using a Docker container.