GREVORO — Traceable Waste Flow Network

Blockchain-verified waste tracking from doorstep to recycling: Every bottle, bag, and box gets a digital passport, empowering informal workers and proving ESG impact with zero greenwashing.

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Inspiration

India generates 62 million tonnes of waste annually, yet 90% of recycling happens through informal workers (ragpickers, kabadiwalas) who earn ₹200-400/day without recognition. Meanwhile, corporations spend crores on ESG reports with no verifiable proof. We built GREVORO to bridge this gap — digitizing the invisible supply chain while dignifying the invisible workforce.

What We Learned

The informal waste economy is a data desert. No APIs, no tracking, no trust. We discovered that ragpickers remember routes by heart but lack digital identity. By giving them a simple portal with QR-based batch logging, we transformed their memory into immutable hash chains — proving provenance without blockchain gas fees.

How We Built It

Architecture: Microservices with Next.js 14 (App Router) frontend, Express API, Python ML (FastAPI) for demand forecasting, and BullMQ workers for async processing.

Traceability Engine: Every handoff generates a SHA-256 hash chain anchored to a Merkle tree — giving each waste batch a tamper-proof "birth certificate."

Six Portals: Role-based access for households (request pickups), ragpickers (log via QR), kabadiwalas (weigh & verify), recyclers (track processing), and public (transparency explorer).

Market Layer: Real-time recyclable trading with dynamic pricing based on ML-predicted demand and actual supply chain data.

ESG Dashboard: D3-powered Sankey diagrams showing true material flow — finally, auditable circular economy metrics.

Challenges

  • Multi-script support: Workers use Hindi/English mix — we built a hybrid UI with iconography.
  • Offline sync: Ragpickers work in connectivity gaps — QR codes store offline, sync on reconnect.
  • Trust without blockchain: Achieved immutable audit trails using cryptographic hashing + Postgres, avoiding gas costs while keeping verifiability.

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