16
Jun

The Finalist | ScamTracker

Project description:  ScamTracker is a proof of concept solution for hunting various scam types using modular architecture. In this proof of concept two solutions (modules) have been programmed from scratch. Domain Hunting module: This module is able to apply scoring (based on defined keywords and their score value) to raw domain name information. Domain names in this PoC are gathered from SSL Certstream (newly…

16
Jun

The Finalist | Trappa

Project description: We made an LSTM machine learning model which classifies different financial fraud things into 8 consolidated classes with an accuracy of 70%. This was achieved by multiplying 100 initially given data points into 20K data points for model training by means of web search scraping.   Team name: Starstruck Project name: Trappa Team members: Demian Hetman, Artem Siryk, Ilya Kowalewski   Media: