Third Place – University of Windsor
This project, called Spdybot, presented an end-to-end learning model without any human participation. The team’s proposed solution is capable of mining all opinions available on the web on a certain topic along with relevant pieces of evidence so that users can decide the authenticity of each opinion before taking them into account. The user is presented with visual statistics of a list of opinions with supporting and contradicting evidence and a credibility score that they can use to decide if an opinion deserves sufficient authenticity.

A system that will take care of expense management of an end-user. The Users will use Android phones & Tablets to take a photo of receipts. Using Image recognition the details on the receipt will be structured and automatically fed to a server PC SQL-based Database system. Printing and reporting support will be provided. The server data and functionality will be interfaceable. Server-based systems will be written in C/C++ derived languages and SQL.