The objective of this project is to build a cloud-based predictive analytics system that evaluates loan applications using historical financial data to assist banks in making faster and more accurate loan approval decisions.
Study loan approval processes and predictive analytics concepts Design cloud-based storage for applicant financial data Implement data preprocessing and validation modules Apply analytical models to assess loan eligibility Generate risk assessment reports Develop dashboards for bank officials Secure sensitive financial information Test system accuracy and scalability Deploy and document system results
