Our Solution We set up a continuous feed of raw data logs, using AWS Kinesis from AWS CloudTrail. Data were then grouped by Time, Usertype, and Logtype into multiple batches. From these batches, variables were generated to be fed into a Machine Learning model that predicted if the data entry was an anomaly, using logistic […]
Our Solution We identified medically significant events like ‘infections’, ‘antibiotics’, ‘surgery’, ‘x-ray’, ‘lab test’, and more. We then leveraged NLP to arrive at the occurrence time of significant events by identifying temporal expressions like ‘today’, ‘two weeks ago’, etc., extracted from the multiple documents and correlated them with the date of document creation. We then […]
Our Solution We extracted, translated and loaded the data from three different sources. We built custom models using Python, which was then applied to the crunched data. The resulting predictions were visualized using D3.js.
Our Solution GameDay is a social network for sports enthusiasts that connects sports tournament organizers, facility owners, and players. We contributed ideas to break the initial chicken-egg problem that marketplace apps have.
Our Solution This app gives users the options to schedule their day, share daily plans, organize events like birthday and promotion parties, invite friends, conduct polls, and chat within a group. They can also sync their entire list of Google, Yahoo, and Group Agendas calendars and keep a tab on all future events.
Our Solution Power 20 follows a single pattern across its 14 different applications. The application has been built from ground-up to work with data from the server without any local setting. A single codebase/package is compiled and deployed with different configurations to enable 14 applications per platform for a total of 28 applications on iOS […]
Our Solution We shipped a supply chain financing platform with complex user and company on-boarding process, and trading platform to propose fund and settle transactions. On-boarding widgets were implemented using Angular.js.
Our Solution The system we have built has collected over 5 million company names and 8 million contacts. We continue to add 10,000 data daily and we are looking to reach 1 billion data points (which is about 30 million companies) in the next 6 months. Firm-specific data from several disparate sources is first collected. […]
Gamified platform that delivers extreme performance and scalability using microservices architecture
Technical Challenges Since the action happens suddenly in just a few minutes of a game, the server-side needed extreme performance and scalability. Our Solution Android and iOS apps used image optimization and resolution based photo uploads. We used microservices to scale each service individually. We also implemented auto-scaling in AWS ECS to scale the application […]
Our Solution We built a Distributed Supercomputer where any computer on the internet running Windows, Mac or Linux could serve as a node. The nodes that are used for distributed computing are clustered using the Expectation-Maximization algorithm which buckets similar nodes into a cluster. The assignment of a node for doing a computational task is […]