Blockchain based solid waste classification with AI powered tracking and IoT integration

Abstract Smart waste management is vital for reducing environmental impact and improving quality of life in smart cities. This study presents an AI-driven waste classification model that integrates IoT and Blockchain technologies. IoT-connected bins transmit data to a central server, which uses bloc...

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Main Author: Aliaa M. Alabdali
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-025-97030-2
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author Aliaa M. Alabdali
author_facet Aliaa M. Alabdali
author_sort Aliaa M. Alabdali
collection DOAJ
description Abstract Smart waste management is vital for reducing environmental impact and improving quality of life in smart cities. This study presents an AI-driven waste classification model that integrates IoT and Blockchain technologies. IoT-connected bins transmit data to a central server, which uses blockchain to ensure secure, transparent data storage. AI algorithms, including machine learning (ML) and deep learning (DL), classify waste in real-time, optimizing waste collection and recycling. Blockchain ensures data integrity, while ML and DL models enhance sorting efficiency. The system aims to improve waste management and sustainability through intelligent decision-making and secure data handling. Performance will be assessed using retrieval metrics and visualization tools to evaluate the impact of hybrid ML and DL models on waste detection and classification.
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institution DOAJ
issn 2045-2322
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publishDate 2025-04-01
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spelling doaj-art-19d1ec36069c40a9851618af656bae382025-08-20T02:55:21ZengNature PortfolioScientific Reports2045-23222025-04-0115111510.1038/s41598-025-97030-2Blockchain based solid waste classification with AI powered tracking and IoT integrationAliaa M. Alabdali0Department of Information Technology, Faculty of Computing and Information Technology, King Abdulaziz UniversityAbstract Smart waste management is vital for reducing environmental impact and improving quality of life in smart cities. This study presents an AI-driven waste classification model that integrates IoT and Blockchain technologies. IoT-connected bins transmit data to a central server, which uses blockchain to ensure secure, transparent data storage. AI algorithms, including machine learning (ML) and deep learning (DL), classify waste in real-time, optimizing waste collection and recycling. Blockchain ensures data integrity, while ML and DL models enhance sorting efficiency. The system aims to improve waste management and sustainability through intelligent decision-making and secure data handling. Performance will be assessed using retrieval metrics and visualization tools to evaluate the impact of hybrid ML and DL models on waste detection and classification.https://doi.org/10.1038/s41598-025-97030-2Smart applicationsSmart waste managementArtificial intelligentInternet of things
spellingShingle Aliaa M. Alabdali
Blockchain based solid waste classification with AI powered tracking and IoT integration
Scientific Reports
Smart applications
Smart waste management
Artificial intelligent
Internet of things
title Blockchain based solid waste classification with AI powered tracking and IoT integration
title_full Blockchain based solid waste classification with AI powered tracking and IoT integration
title_fullStr Blockchain based solid waste classification with AI powered tracking and IoT integration
title_full_unstemmed Blockchain based solid waste classification with AI powered tracking and IoT integration
title_short Blockchain based solid waste classification with AI powered tracking and IoT integration
title_sort blockchain based solid waste classification with ai powered tracking and iot integration
topic Smart applications
Smart waste management
Artificial intelligent
Internet of things
url https://doi.org/10.1038/s41598-025-97030-2
work_keys_str_mv AT aliaamalabdali blockchainbasedsolidwasteclassificationwithaipoweredtrackingandiotintegration