Convert citizen feedback into infrastructure priorities
Most people who notice a broken road or a dry tap have no real way to make it count beyond a phone call that goes nowhere. Nagrik gives that report somewhere to go: through an AI pipeline that verifies it, clusters it with everyone reporting the same problem, and scores it so the most urgent, most-affecting issues rise to the top — then a local worker can claim it and get it fixed.
Scattered reports don't add up to a decision
A single photo of an overflowing bin, on its own, is easy to overlook. Multiply it by hundreds of similar reports across a neighborhood, and it's a clear priority — but only if something is actually counting, clustering and scoring them together. Most channels for reporting a problem aren't built to do that, or to connect the report to someone who can actually go fix it.
Nagrik closes that gap: every report gets a priority score, and any report can be claimed by a nearby worker who does the fix and earns a reward — so the scale of a problem is visible the moment it crosses a threshold, not months later.