**Goal: ** Turn high‑resolution hazard and vulnerability data into actionable adaptation guidance for buildings or infrastructure in the GTA.
Build a prototype that:

• Pulls asset‑level hazard exposures and impact metrics (e.g., heat stress, flood, wind) for current and future horizons (e.g., 2030/2050) under multiple scenario pathways.

• Computes risk scores and identifies top drivers (hazards, time horizons, locations).

• Generates prioritized adaptation recommendations (e.g., cooling upgrades, floodproofing) and, where possible, a simple cost/benefit or risk‑reduction estimate.

• Presents results in a clear interactive UI or notebook report (maps, tables, charts).

  
  

Minimum deliverables:

• Reproducible code/notebook + short README

• Example inputs (addresses/assets or public open‑data samples)

• A 5‑minute demo

  
  

Stretch ideas:

• “Risk‑to‑Action” explanation: natural‑language justifications for each recommendation

• Simple ROI calculator comparing adaptation options

• Batch mode for many assets (CSV of addresses)

**Goal: ** Build an analytics workflow that turns company + asset‑level data into portfolio‑level climate risk insights and scenario narratives.
Build a prototype that:

• Retrieves company and associated asset metrics

• Aggregates to portfolio views (by sector, geography, hazard, horizon)

• Highlights concentration of risk and what‑if scenarios (e.g., heatwave frequency increases; fluvial flood risk intensifies)

• Surfaces Top‑N drivers and actionable tilts (e.g., supplier diversification, facility adaptation priorities)

• Optionally exposes a natural‑language question interface (e.g., “Which holdings drive flood risk in 2035?”)

  
  

Minimum deliverables:

• Reproducible code/notebook + short README

• Example portfolio (ticker list or fabricated sample)

• A 5‑minute demo

  
  

Stretch ideas:

• Interactive dashboard with filters (hazard, horizon, sector)

• Report generator (PDF/HTML) for investor or sustainability audiences