Congratulations to the leading We vs. Virus hackathon team from Capgemini: Quebec Quarantines. The team worked diligently during the four-day hackathon to offer resolutions to challenges Canada is facing as a result of the pandemic.
SAP Canada hosted the event in Toronto with more than 500 talented employees from eight leading organizations: Accenture, Capgemini, Deloitte, EY Canada, IBM, Microsoft, PwC Canada, and SAP. The teams collaborated and developed innovative solutions in response to the challenges of the pandemic.
Leaders from the eight participating organizations selected five winning teams. These teams will explore how their solutions can be adopted.
Four Capgemini teams were identified for their contributions:
Quebec Quarantines, First Place
Homebody is a solution that incentivizes people to social distance and follow medical guidelines and allows them to support local businesses most affected by the crisis. The app gamifies social distancing by allowing users to compete with their community and earn points for staying at home. Through partnerships with local and national businesses, users will then trade their accumulated points for various rewards. These include free delivery from a local store or a free coffee with the purchase of a breakfast wrap. By utilizing location-based software, Homebody will encourage users to stay home and do their part to flatten the curve while also empowering them to help the community.
Curve Bender, Finalist
COVID Tracer is a privacy-centric mobile application to enable contact tracing leveraging Bluetooth and GPS proximity with COVID-19 positive patients. Push notifications send alerts from Canadian healthcare providers as well as the federal and provincial governments. The objective is to relieve stress on the medical community, support scientific research, and save lives.
WHU (We Hear yoU), Finalist
Home$afe is a mobile application that provides a self-diagnostics module for detection of COVID-19. Early detection can be effective in saving lives. The solution aims to take advantage of the 14-day incubation period. Smartphone technology captures voice, cough, and face samples coupled with input of other common symptoms observed in the user. This data is securely transmitted to the cloud platform for processing using cutting-edge machine learning such as neural networks, voice, and facial analytics.
COVID Decoders, Finalist
This solution provides an alternative grocery-distribution model, focusing on government-subsidized food-distribution centers in communities across Canada. These centers would provide delivery options via existing food-delivery apps as well as curbside pickup, minimizing the need for Canadians to frequent busy grocery stores and improving adherence to stay-at-home measures and social-distancing orders.