"We are grateful to so many people who have helped us along the way. Thank you. We wish you success, health, and happiness. Let us hope and work for a better world!"
McNeese State University
CC7 - Extract guidance and actions from Climate Change documents using Machine Learning
Using machine learning, extract actionable climate change tasks and guidance from published PDF files.
University of Toronto
Climate Change Problem-Solution Research
November 2019 to July 2020
We set out to investigate if there is a need for a solution that gives citizens personalized help preparing for and recovering from climate change impacts and lets trusted authorities assist them and track the results.
CC10 - Canadian Market Opportunity and Business Model Analysis for a Climate Change Impact Content Portal
CC12 - Gamification Study and Recommendations for Climate Change Impact Software
Design a gamification model to encourage citizens to take action to prepare for, avoid, mitigate, and recover from climate change impacts.
|IT4990 – Capstone Winter|