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Research Paper | Computer Science | India | Volume 13 Issue 4, April 2024

Loan Price Prediction

Rhutik Jivanrao Shende

Abstract: The prediction of loan prices is a critical task in the financial industry, influencing lending decisions, risk assessment, and overall market stability. Traditional methods often struggle to incorporate the complex interplay of factors affecting loan pricing, leading to suboptimal outcomes and increased risk exposure. In response, this study proposes a novel approach leveraging the power of Artificial Intelligence (AI) and Machine Learning (ML) techniques to predict loan prices accurately. This research focuses on developing a robust loan price prediction system that harnesses AI and ML algorithms to analyze vast datasets comprising borrower profiles, loan characteristics, economic indicators, and historical market trends. The system employs advanced predictive modeling techniques, including regression analysis, ensemble methods, and neural networks, to capture intricate patterns and relationships within the data. Furthermore, the proposed system incorporates feature engineering and selection methodologies to identify the most influential factors driving loan prices. Through iterative model refinement and validation processes, the system enhances predictive accuracy and generalization capability, ensuring reliable performance across diverse loan portfolios and market conditions.

Keywords: Loan, Prediction

Edition: Volume 13 Issue 4, April 2024,

Pages: 550 - 551