Design and Implementation of a Loan Approval Prediction System Using Machine Learning
Computer Science — 2025, Undergraduate
financeloan approvalmachine learningprediction
This study designed and implemented a Loan Approval Prediction System that assesses the likelihood of loan repayment based on applicant characteristics. Manual credit assessment is time-consuming and inconsistent across officers. The system applies classification algorithms to applicant data and produces approval recommendations with confidence scores. Built with Python Django and SQLite, the system was evaluated using historical loan records. Findings showed accurate prediction of approved and declined applications. The study recommends deployment as a decision-support tool within lending institutions, subject to responsible use and regulatory compliance.
For reference and learning only. Do not submit this work as your own.
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