MLOps Loan Approval Prediction System
A Django-based Credit Approval System that intelligently determines loan eligibility and offers real-time insights based on past loan data and customer profiles using PostgreSQL.
Explainable AI Loan Approval System built using React, Spring Boot, and MySQL.
Built and deployed a Flask-based machine learning system to predict loan default risk using customer demographics and financial indicators. Applied advanced ensemble models like XGBoost and LightGBM to achieve ~99% accuracy. Designed a full-stack solution with real-time prediction capabilities, enabling faster, smarter loan decisions in banking.
Loan-Processing Chat Bot: VORTX CHATBOT
This project predicts whether a loan application will be approved by analyzing key financial and personal factors. It helps simulate realistic decision-making in lending and offers insights into responsible credit evaluation.
Predict housing loan approval with logistic regression using financial and demographic data for faster lending decisions
Loan approval prediction means using credit history data of the loan applicants and algorithms to build an intelligent system that can determine loan approvals.
A fuzzy logic controller for automated loan approval decisions
Predict loan approvals instantly with explainable AI, complete end-to-end ML pipeline, demo app, and FastAPI deployment.
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