With the upgrade in the financial area loads of individuals are applying for bank advances however the bank has its restricted resources which it needs to allow to restricted individuals just, so discovering to whom the credit can be conceded which will be a more secure choice for the bank is a commonplace interaction. So in this task we attempt to decrease this danger factor behind choosing the protected individual in order to save bunches of bank endeavors and resources. This is finished by mining the Data of the past records of individuals to whom the advance was conceded previously and based on these records/encounters the machine was prepared utilizing the AI model which give the most precise outcome. The principle objective of this paper is to anticipate whether relegating the advance to specific individual will be protected or not. This paper is separated into four areas (i)Data Collection (ii) Comparison of AI models on gathered information (iii) Training of framework on most encouraging model (iv) Testing.