AL, ML, DL, Mobile, Mac, Web and Windows Development

Loan Default Predictor

Opportunity

To decrease the loan default rate in a financial institute by predicting if a particular application might default or not

Orchestration

Build a predictive model using past data to train a model to..

Collecting various data points (customer persona, past data, credit score, income, active running loans).

Outcome

Creates a better understanding between the loan applicants and financial institutions.
Making the loan processing system faster and secure

Prediction Model for Mortgage Defaulters

Opportunity

To predict if a particular application will default and to predict default mortgages

Orchestration

Using ANN to find non-linear correlations [between sparse input data and desired outputs] which can classify mortgages into Default or Fully Paid Loan

Outcome

More data on risk for financial institutions

Making the loan processing system faster and secure

Fraud detection

Opportunity

AI to detect fraudulent transaction patterns & prevent card fraud

Orchestration

Build a predictive model using past data to train a model to..

Device Fingerprinting, Behavior Analysis & Network context
Transaction then can be accepted, blocked or handed over for a manual review

Outcome

Improve the Fraud detection & Automated system alerts

AI in mobile apps for Banks - Face Use Case recognition

Opportunity

Additional security with facial recognition

Orchestration

Facial recognition app integration is a multifactor user authentication with face login

Outcome

End users can log-in to banking apps & websites using multipurpose mobile authenticator

Additional security in case of theft or misuse of device

Information extraction - Form Auto-Fill

Opportunity

Auto filling card details manually on payment gateways

Orchestration

Using opencv, OCR & entity aware CNN model for data extraction from credit/debit cards & autofill data at payment page.

Outcome

Improve customer experience by augmenting card data entry process