Loan Default Prediction

The Loan Default Prediction Web Application is a full-stack data science project that leverages machine learning to assess the likelihood of loan default based on applicant financial and personal data.

Built with Flask, the app allows users to input features such as age, income, credit score, and loan details through an intuitive form. A pre-trained Random Forest model processes the inputs to predict whether a loan is likely to default, displaying the result alongside a confidence score and key risk factors.

This project demonstrates proficiency in building end-to-end data-driven web applications, from data processing and model training to frontend design and backend integration.