Real-time prediction
Submit an application and get an ML-based approval decision without waiting on batch jobs.
A fast, secure system that scores applications in real time so teams can focus on exceptions—not spreadsheets.
About the system
Smarter decisions from historical data
This platform uses supervised learning—logistic regression—to estimate whether a loan should be approved or rejected from patterns in past applications.
Features include applicant income, loan amount, credit history, employment, and more. The goal is consistent, explainable scoring with less manual guesswork.
Capabilities
From secure sign-in to admin oversight—designed to look sharp on large screens and stay usable on phones.
Submit an application and get an ML-based approval decision without waiting on batch jobs.
Separate experiences for users and admins, with passwords stored safely using industry-standard hashing.
Review applications, track outcomes, and apply overrides when a human decision should win over the model.
Layouts, typography, and touch targets scale cleanly from compact phones to wide desktops.