Captured from the live deployment, not a mockup
01 · The problem
Answered the one question a commuter actually asks, will my route flood and when, instead of a city-wide alert they still have to interpret themselves.
02 · How it works
- 01
Made data confidence visible rather than hidden, with 39 of 73 flood points backed by a named source and a confidence value on every row.
- 02
Built the register so citizen reports feed back into it, turning users into the data source rather than only its audience.
- 03
Scored whether a specific route through Gurugram will flood and when, matching live rainfall against 73 researched flood points rather than issuing a city-wide warning nobody can act on.
03 · What it cost, and what it returned
Tracked provenance as a first-class field: 39 of 73 points carry a named source and every row has a valid confidence value, so a placeholder can never render as fact.