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Loan Eligibility and Approval Prediction Using Machine Learning

  • Unique Paper ID: 179957
  • Volume: 11
  • Issue: 12
  • PageNo: 8585-8587
  • Abstract:
  • This paper presents a real-time loan eligibility prediction system using machine learning techniques. The system leverages historical financial data to assess applicant profiles and predict loan approval outcomes. Classification algorithms such as Support Vector Machines (SVM), Logistic Regression, and Random Forest are employed to identify patterns in applicant data and deliver accurate predictions. The proposed system automates the decision-making process, reduces human bias, and increases processing speed and consistency. A web-based interface facilitates seamless data input and displays real-time results, enabling practical use in financial institutions. Experimental results demonstrate the system's effectiveness, with high prediction.
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  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 12
  • PageNo: 8585-8587

Loan Eligibility and Approval Prediction Using Machine Learning

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