Brief - The loan application plays an important role in deciding whether the borrower/user should be granted a loan or not. The lender procures basic details from the user via this application which is then further analyzed for a loan grant. Problem Statement - The director of SZE bank identified that going through the loan applications to filter the people who can be granted loans or need to be rejected is a tedious and time-consuming process. Solution- The idea behind this ML project is to perform Exploratory Data Analysis, Visualization, and build an ML model along with a web application that the bank can use to classify if a user can be granted a loan or not.