FLOATER DIVINATION

FLOATER DIVINATION

1Namithashri A V, MCA Maharaja Institute of Technology Mysore

2Prof. Amos R, Assistant Professor, MCA, Maharaja Institute of Technology Mysore

---------------------------------------------------------------------***---------------------------------------------------------------------

Abstract - Many individuals are seeking for bank loans now that the banking industry is doing better, but because banks only have so many assets to lend to, choosing who will be a better pick for the bank and to whom the loan may be provided is usually a procedure. One of the main lines of business for banks is lending, and the interest on loans is a significant source of profit. The determination of loan eligibility follows a lengthy and laborious process that involves validating a number of requirements and checking several documents. By creating a system that anticipates loan eligibility based on the data entered into the online application, which contains all the requirements for certifying the eligibility, this time- consuming procedure of assessing a set of criteria may be eliminated. With the use of machine learning, this process of determining whether a loan will be accepted or not may be automated. This programme saves time for both bank employees and clients.