Canvass Foresight
A civic-tech annotation tool that helped organizers pre-review canvassing addresses with Street View imagery before sending people into the field.
Problem
Large canvassing address sets can waste organizer time if teams discover too late that addresses are unsuitable, unclear, or need additional notes before field work.
Approach
I built a review workflow around pre-fetched imagery, labels, comments, and address triage so teams could make field deployment decisions earlier.
Outcome
The shipped public project extends my civic-tech work beyond housing research into practical organizer tooling and field-operations preparation.
Highlights
- Pre-fetched Street View imagery made address review possible before canvassers went out.
- Labeling and comments supported team triage instead of one-off inspection.
- The project pairs a public React/TypeScript app with organizing workflow design.
Workflow First
The value was not the image viewer by itself. The useful workflow was moving uncertainty out of the field and into a pre-review queue where organizers could label, comment, and prioritize addresses.
Implementation
The project uses React, TypeScript, React-Bootstrap, NocoDB, and AWS. It is intentionally pragmatic: a focused tool for reviewing many records quickly rather than a broad campaign-management platform.
Portfolio Role
Canvass Foresight complements Philly Landlord Spotter by showing another version of civic technology: not public research for tenants, but internal tooling that helps organizers prepare field operations.