Green Grid: Smart Tech Meets E-Waste
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arXiv
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| Hauptverfasser: | , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| author | Jagtap, Yashodip Dharmendra Bagul, Aaditya Ganesh |
| author_facet | Jagtap, Yashodip Dharmendra Bagul, Aaditya Ganesh |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_08888 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Green Grid: Smart Tech Meets E-Waste Jagtap, Yashodip Dharmendra Bagul, Aaditya Ganesh Human-Computer Interaction Computers and Society 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. |
| title | Green Grid: Smart Tech Meets E-Waste |
| topic | Human-Computer Interaction Computers and Society |
| url | https://arxiv.org/abs/2510.08888 |