International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 5 (September-October 2026) Submit your research before last 3 days of October to publish your research paper in the issue of September-October.
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Volume 8 Issue 5
September-October 2026

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A Novel Ai-driven Framework for Efficient Urban Waste Management Promoting Sustainability

Author(s) Kumari Chandrawati, Bibhuti Kumbhakar, Suraj Kumar Sharma, Dr. Pramod Kumar Singh
Country India
Abstract The pace of urbanisation and population growth has significantly increased the complexity of municipal solid waste management, leading to inefficiencies in the segregation, collection, and disposal of waste. Traditional waste management systems are mostly manual, time-consuming, error-prone, and environmentally unsustainable. To overcome these issues, this paper proposes a new AI-driven smart waste management framework to improve operational efficiency and support sustainable urban areas. The suggested framework combines artificial intelligence methods with intelligent sensing infrastructure to enable autonomous waste classification, real-time bin tracking, predictive waste-level analysis, and efficient collection planning. Compared with current waste management strategies that consider different elements of the problem separately, the proposed system offers an intelligent architecture that integrates decision-making, prediction, and sustainability into a single framework. The proposed framework is evaluated analytically to assess its anticipated performance in terms of efficiency, scalability, cost reduction, and environmental impact. Compared with conventional waste management methods, the analysis reveals potential advantages of smart practices that should be implemented in cities with AI assistance. The suggested framework can serve as a baseline for future implementation and experimentation and provide useful information to smart city designers, city leaders, and scholars seeking to achieve sustainable and intelligent waste management systems.
Keywords Artificial Intelligence, Smart Waste Management, Sustainable Urban Environments, Smart Cities, Predictive Analytics, Waste Segregation, Decision Support Systems
Field Biology > Bio + Chemistry
Published In Volume 8, Issue 5, September-October 2026
Published On 2026-09-23
DOI https://doi.org/10.36948/ijfmr.2026.v08i05.88202
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E-ISSN 2582-2160
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CrossRef DOI prefix of IJFMR is 10.36948/ijfmr

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