English

Green Grid: Smart Tech Meets E-Waste

Human-Computer Interaction 2025-10-13 v1 Computers and Society

Abstract

Electronic waste (e-waste) is a rapidly growing global problem caused by shorter device lifecycles and rising consumption. India ranks third globally in e-waste generation, producing over 1.7 million tonnes in 2023-24, of which less than half is formally processed. To address this, we propose Green Grid, an integrated AI-powered e-waste management platform combining IoT-enabled smart collection, AI-based device classification, blockchain-based traceability, and gamified citizen engagement. The system features smart recycling bins with sensors for real-time monitoring, deep learning models for device identification and sorting, a blockchain ledger for tamper-proof tracking, and a reward-based mobile or web app to encourage user participation. Additionally, Green Grid offers analytics dashboards and an eco-marketplace to support policymakers and recyclers. By bridging technology, sustainability, and community participation, the platform enhances transparency, increases formal recycling rates, and advances India's transition toward a circular economy.

Keywords

Cite

@article{arxiv.2510.08888,
  title  = {Green Grid: Smart Tech Meets E-Waste},
  author = {Yashodip Dharmendra Jagtap and Aaditya Ganesh Bagul},
  journal= {arXiv preprint arXiv:2510.08888},
  year   = {2025}
}

Comments

16 pages, 5 figures, 2 tables, includes system architecture diagrams and performance analysis

R2 v1 2026-07-01T06:28:26.147Z