Re:Housed is a dashboard tool designed to support the City of Toronto in selecting optimal sites for homeless shelters. Our project leverages data and ML to assist in making informed ethical and efficient decisions for urban planning and social good.
TODO
Development Environments:
Languages & File Formats:
- Python
- CSV files
Libraries & Frameworks:
"The AI4Good Lab is a 7-week program that equips women and gender diverse people with the skills to build their own machine learning projects. We emphasize mentorship and curiosity-driven learning to prepare our trainees for a career in AI." - AI4Good
As trainees of the AI4Good Lab Toronto Cohort of 2025, we spent all of May learning about AI principles, attending workshops and speaker talks at the Vector Institute in preparation for this project. We will be presenting our project at Mila on Demo Day on June 25.