Financial Oracle: Unlocking Credit Scores

Abstract

This paper provides individuals with a reliable tool for predicting their credit scores based on various financial attributes. Leveraging ML models, specifically a Random Forest classifier, our system analyzes features such as yearly income, salary, bank accounts, credit card usage, loan history, and payment behavior. Users can input their financial information, and the system generates a predicted credit score. This predictive tool empowers individuals to gain insights into their creditworthiness, enabling better financial planning and decision-making. By offering a user-friendly interface and accurate predictions, our project seeks to assist users in understanding the factors influencing their credit scores and ultimately improving their financial well-being. With the increasing importance of credit scores in financial transactions and lending decisions, our tool serves as a valuable resource for individuals seeking to manage their finances more effectively.