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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM15798
Volume:
6 |
7 |
Jul 2022
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
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.
KEYWORDS
Publication Date
7/23/2022
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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