AI Copilot for
Plastic Waste Segregation
Transforming Dry Waste Recovery with Computer Vision to recover Billions.
The Waste Bottleneck
Manual sorting limitations stall circular economy.
Tonnes Recycled Daily
India produces 26,000 tonnes of plastic daily, but only 8% is successfully recycled.
Bale Rejection Rate
Recyclers reject up to 40% of incoming plastic bales due to manual polymer sorting errors.
Market Potential
$1B national segregation market combined with a $13B global industry growing at 8% YoY.
Waste Segregation Copilot
- • Non Intrusive: Integrated with existing dry waste facility infrastructure.
- • Visual Identification: Automated polymer identification eliminates worker cognitive load, saving >5s per item.
- • Real Time Segregation: Accurately identifies PET, PVC, HDPE, PP, and solid resins.
Prototypical model far outperforms the 10-40% human eye limit, ensuring high purity single resin bales.
Economics & Business Architecture
Unlocking ₹1-3 Cr added value per MRF annually.
SaaS Model
Proprietary vision model licensing for multi-polymer classification.
Hardware Setup
Minimally intrusive edge device deployment over existing sorting belts.
Servicing
Recurring operational updates tuned to specific facility material streams.
EPR Facilitation
Verified data logs for CPCB compliant credit generation.
Proggya Chakraborty
Founder • MBA @ ISB Hyderabad
Ex-Salesforce • Ex-Google
Combining background in enterprise engineering and business strategy to bring scalable automation to waste infrastructure.