Projects | Fundamentals of Fun Alumni

Portfolio Spotlight

Applied AI experiments from Schulich MMAI alumni in motion.

Explore the projects our Fundamentals of Fun collective has shipped since graduation. Each build pairs business insight with playful curiosity so fellow innovators can see what is possible and adapt our lessons to their own ventures.

Project Themes

Collisio: real-time networking wearables & event analytics
SixSafety: RAG-powered safety plans for Toronto communities
StrideWell: AI copilots supporting caregivers and frailty care

Projects in Focus

Select case studies from the Fundamentals of Fun network of Schulich MMAI 2024-2025 alumni. We are expanding this library each season with new collaborations and research.

Collisio: Connecting the Dots Through Collisions

A wearable networking system that lights the way to meaningful conversations at innovation events. Alumni team Allan Galli Francis Xavier, Bailie Geddes, Christine Tang, Ethan Hu, and Matthew Cheung designed pods that vibrate when high-potential matches are nearby, tap to swap LinkedIn contacts, and feed organizers dashboards that quantify serendipity.

The concept tackles a dual pain point: busy organizers struggle to prove ROI, while attendees often miss the right introductions. Collisio’s combination of ultra-wideband positioning, matching algorithms, and post-event analytics helps both sides demonstrate value and follow through on connections.

Networking Analytics Wearables Event Tech

SixSafety: Empowering Community Safety Plans

A Retrieval-Augmented Generation (RAG) application that transforms Toronto Police open data into neighbourhood-specific safety plans. Residents answer a short survey and receive tailored steps, curated resources, and transparent citations so they can advocate for their communities.

Built to support the SafeTO agenda, SixSafety balances precision and recall in its knowledge base, integrates human-in-the-loop reviews, and highlights the metrics that matter for both residents and municipal partners assessing public safety investments.

RAG Civic Tech Responsible AI

StrideWell: Frailty Care Copilot

An AI-assisted care platform that supports informal caregivers managing frailty. StrideWell combines PRISMA-7 assessments, curated care plans, and future agentic workflows to reclaim time for caregivers like Samantha while keeping loved ones safer at home.

The roadmap layers on scheduling agents, dynamic resource retrieval, and privacy-by-design data governance so the tool can scale from individual pilots to partnerships with long-term care providers.

Healthcare Conversational AI Product Strategy