• Rahul Ashok Dhote
• Vaishnavi Madhav Pawar

 Loan prediction is a crucial aspect of the lending industry that utilizes data analysis and machine learning techniques to forecast the likelihood of a borrower defaulting on a loan.  With the increasing availability of data and advancements in technology, lenders can now make more accurate predictions and informed decisions.  The process of loan prediction involves analyzing various factors such as credit history, income, employment status, loan amount, loan purpose, and other relevant data points.  By examining historical loan data and identifying patterns, machine learning algorithms can be trained to recognize and predict potential risks associated with loan applications.  These predictive models enable lenders to evaluate the creditworthiness of borrowers and assess the probability of loan repayment.  By understanding the potential risks, lenders can make informed decisions regarding loan approvals, interest rates, and loan terms.  This not only helps lenders manage their risk exposure but also ensures responsible lending practices.  Loan prediction models are continuously refined and improved as more data becomes available and new techniques are developed.  These models can be used for various types of loans, including personal loans, home loans, auto loans, and business loans.  They provide valuable insights to lenders, allowing them to streamline their lending processes, reduce default rates, and enhance overall efficiency.  By leveraging advanced data analysis techniques and machine learning algorithms, lenders can make informed decisions about loan approvals, interest rates, and loan terms.  This project helped us to learn about the complicated system of the loan prediction system and the best model that can work with this particular project.  However, by developing accurate, efficient, and automated methods for credit assessment and risk prediction, lenders can minimize the risk of default and promote responsible lending practices.  Loan prediction not only benefits lenders by enabling them to make informed lending decisions, but it also benefits borrowers by ensuring fair and transparent loan evaluations.  This system properly and accurately calculates the result.It predicts the loan is approve or reject to loan applicant or customer very accurately.

Home loan, Personal loan, Automobile loan

"Loan Eligibility Prediction Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 9, page no.d240-d303, September-2023, Available :http://www.jetir.org/papers/JETIRTHE2066.pdf

"Loan Eligibility Prediction Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 9, page no. ppd240-d303, September-2023, Available at : http://www.jetir.org/papers/JETIRTHE2066.pdf