FF Los

Loan status tracking and doc upload screen
Consumer Login screen
Loan officer quick process dashboard
Pre-approval screen
Mortgage application screen
Azure ML algorithm used in this project for Pre-underwriting condition check
Data used for underwriting condition success status

Inspiration

A Mortgage loan application takes around 40-45 days for closure. Customers were unaware why their loans take much time for getting granted. Our app will speed up the loan processing by ease the most time taking phases.

What it does

• Instant eligibility checker (check credit score, check payment history) • Required Documents Notification • Apply for Lead instantly • Predict the time/date for completion of each phase • Order appraisal (Using location map sent by Customer) • 1003 Auto fill (with the above-mentioned data. • Pre-Automated Underwriting (With the history of customer data) • Instant Upload/Request missing documents • Quick view of possible delays in a loan (for customer as well as loan officer)

How we built it

We build this app using Azure ML Studio for borrowers credit check, Xamarin and apis. Machine learning and FFDC Apis are the main skills used

Built With

Submitted to

Hack to the Future

Created by

I worked on mobile app development using Xamarin. I am first in Xamarin, learned a lot from this like UI design, calling FFDC and Azure service from android etc.

Ajith K
I worked on the Initial Eligibility Checking to identify the Pre-Approval status based on the Customers : Age,Monthly Salary,Monthly savings,Average Monthly balances and their credit balances.Retrieved the above mentioned parameters through FFDC's Consumer and Account Information APIs and Passed it to the InitialEligibilitychecker ML algorithm which is running as a Azure ML(web services).

Ayyamperumal Nadesh
Hariprasoon R
Sujith Justee