StreetVision AI

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Turn street photos into prioritized civic infrastructure reports with AI-assisted detection and community confirmation.

StreetVision AI is presented as a civic reporting platform for residents and municipal teams. Its homepage describes a workflow in which a user photographs a pothole, road crack, broken light, flood, fallen tree, damaged sign, sidewalk issue, waste accumulation, road obstacle, or other infrastructure problem. The proposed system adds classification, severity, location, community confirmations, a transparent priority score, crew routing, and resolution tracking. The current deployment functions as a polished product overview only because the reporting, map, public report, analytics, account, and report detail routes are unavailable.

Highlights

AI issue detection

Classifies street photos

Community priority

Confirmations raise rank

Ten issue types

Broad street coverage

Resolution journey

Tracks report status

How to Use

Review the product concept
Open the homepage and scroll through the photo-to-fix workflow, supported infrastructure categories, community priority model, sample activity metrics, and illustrative report status cards.
Check the intended reporting flow
The homepage indicates that users should select Report a Problem, take a street photo, provide precise location context, and let the proposed AI workflow classify and score the issue. This route currently returns HTTP 404 and cannot be completed.
Explore reports and accounts
The navigation advertises a street map, public reports, analytics, login, registration, and report details. These destinations currently return HTTP 404, so visitors can only review their descriptions on the homepage.