Turning public reports into auditable environmental impact.
Explore how each waste incident progresses through automated AI classification, task dispatch, physical verification, and diversion analytics.
From one report to a verified outcome.
Explore each stage of the closed loop. Click any phase to inspect the data transition and accountability safeguards.
REPORT
A student, resident, or staff member snaps a photo. GPS coordinates, timestamp, and optional notes are captured automatically with no mandatory app download.
Camera upload & 28.7485° N, 77.1168° E geotag
All status transitions require signed actor ID and timestamped event record.
Environmental data should be accountable.
Clean sustainability metrics must withstand institutional scrutiny. GreenLoop embeds verifiable evidence into every record.
Traceable Lifecycles
No incident vanishes without an immutable audit record of its initial state, assignment, and closure.
Empirical Verification
Resolution requires physical before-and-after photographic evidence and weigh-in telemetry.
AI Advises, Humans Decide
Vision models propose characterizations and safety notices, but trained staff make the final disposition.
Role-Based Governance
Strict server-side permissions distinguish community reporters, custodial field staff, and facility directors.
Sample Incident Audit Trail (INC-2026-081)
Each entry records exact UTC timestamp, actor identity, verified cryptographic hash, and physical telemetry:
Experience the reporting workflow
Upload any sample waste photo to test the AI classification engine right now.