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Eco Refund
IoT Digital Twin simulator for reverse vending machines featuring OpenAI contamination detection and real-time MQTT telemetry.
Project Overview
A comprehensive IoT Digital Twin simulator that visualizes automated reverse vending machines for smart plastic recycling. Integrates OpenAI vision models for contamination classification, real-time MQTT message streams for telemetry, and simulated instant UPI financial payouts to incentivize sustainable habits.
Key Highlights & Architecture
- Developed an interactive real-time Digital Twin simulating RVM sensors, compaction motors, and storage fill levels.
- Integrated OpenAI visual classification to detect foreign non-recyclable contaminants.
- Built MQTT event pipelines and an operator dashboard with Express and React.