The Loan Status Prediction Model is a machine learning tool that predicts whether a loan application will be approved or rejected based on applicant details.

When it comes to deciding whether the applicant’s profile is relevant to be granted with loan or not,banks have to look after many aspects. Predicting loan approval is a common application of machine learning in the financial industry.

A Flask-based web application that uses a machine learning model to assess the likelihood of a customer defaulting on a loan. The user inputs key financial and credit-related information, and the app returns a risk prediction (Low Risk / High Risk) in real-time.

The Loan Status Prediction Model predicts loan approval based on applicant details like income, credit history, and loan amount. It uses data preprocessing, an SVC model, and achieves around 79% accuracy. The trained model is saved for future use.

The Machine Learning Project created in the college for mini project submission. In this project i learn about the jupiter-notebook and also explore the code in the python programming language and machine learning this project is guided by @chandan-verma.