App for paying student loans

Digital lending platform with a mobile app client fully automating the loan process from origination, online loan application, KYC, credit scoring, underwriting, payments, reporting, and bad deal management. Featuring a custom AI analytics & scoring engine, virtual credit cards, and integration with major credit reporting agencies and a bank accounts aggregation platform.

The system uses machine learning techniques to process various content feeds in real-time and boost productivity of a financial analyst or a client relationship manager in such domains as wealth management, commercial banking, fund distribution.

The system is a SaaS platform allowing the client to evaluate solvency and reliability of the potential borrowers using statistical methods of analysis of the historical and nontraditional data sources such as social network profiles and others. It allows the client to upload his normalized and anonymized database of previous loans data, build mathematical models and calculate the credit score of the future potential borrowers entering their data through the system’s web interface.

The health management system is a web app that helps medical insurance auditors making a judgment on the claims issued by the medical aid providers. It reduces the costs of claims auditing process and fraudulent risks or human mistakes with the help of machine-learning algorithms.

Machine learning can automatically create and refresh an algorithm for solving a complex problem based on a large volume of data. It’s not necessary to search for business-important patterns. Instead, a team of qualified professionals should prepare the right data set for training and automate the entire data processing and application process. But at the same time, it is very important to ensure the quality of data and continuous quality control of algorithms.

The LegionLites™ app is a mobile application for managing home and outdoors illumination. The app supports the creation of different modes, brightness, colors, and applies other visual effects on a garland – whether individually or as a group – via Wi-Fi. This technology can be used for managing lighting on a Christmas tree as well as for storefronts decoration and street lighting on the trees and buildings.

The project is a web system which searches units for sale and rent in Canada. The advanced search and user-friendly interface help to find the right accommodation for everyone.

McDonalds’ Augmented Reality app uses image recognition to give customers insight into McDonalds products.  After scanning any product, a customer can see which ingredients and processes are behind it.