Numerous improvements in the banking industry are also a result of technological advancements. Every day, more and more people apply to get their loans approved. When choosing a candidate for loan approval, they must take into account a few bank policies. The bank must choose which is the best candidate for approval based on a number of factors. It is difficult and dangerous to manually check each person before recommending them for loan approval. In this study, we employ a machine learning technique that, based on the prior record of the individual to whom the loan amount has previously been certified, will forecast who is dependable for a loan. Predicting whether or not a certain person will be approved for a loan is the main goal of this effort.