AMAN6921/A-Practical-Pre-Approved-Loan-Allocation-Model-Using-Machine-Learning-Algorithms-Neural-Processing
A machine learning–based system for pre-approved loan sanctioning. Uses Random Forest classification and custom rules (CPH, CTL, APH, ATL, Credit-Short/Long) to evaluate customer creditworthiness, with integration-ready backend and frontend roadmap.
GitHub repository with 13 stars and 0 forks.
Language: Python