Intelligent Waste Management Classification

Addressing the global waste management crisis requires innovative approaches that integrate technology and sustainability. This research introduces an e-commerce platform designed to facilitate the recycling ecosystem by connecting waste sellers, such as individuals and industries, with buyers seeking recyclable materials. The platform utilizes machine learning-based image classification to analyze uploaded waste images, accurately identify their types, and link sellers to appropriate buyers. Furthermore, it extends its functionality by allowing sellers to list and sell recycled products, thereby completing the recycling loop. By streamlining the exchange of waste and recycled goods, this system fosters a circular economy, promotes sustainable practices, and provides a scalable solution to reduce environmental impact. The paper details the platform’s architecture, technical implementation, and its potential to revolutionize waste management practices.

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Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2024-12-28
DOI
https://doi.org/10.22214/ijraset.2024.66093
Primary Topic
Municipal Solid Waste Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Intelligent Waste Management Classification

Shailavi Kargaonkar
International Journal for Research in Applied Science and Engineering Technology
Municipal Solid Waste Management
article

Intelligent Waste Management Classification

Shailavi Kargaonkar
article en

Abstract

Addressing the global waste management crisis requires innovative approaches that integrate technology and sustainability. This research introduces an e-commerce platform designed to facilitate the recycling ecosystem by connecting waste sellers, such as individuals and industries, with buyers seeking recyclable materials. The platform utilizes machine learning-based image classification to analyze uploaded waste images, accurately identify their types, and link sellers to appropriate buyers. Furthermore, it extends its functionality by allowing sellers to list and sell recycled products, thereby completing the recycling loop. By streamlining the exchange of waste and recycled goods, this system fosters a circular economy, promotes sustainable practices, and provides a scalable solution to reduce environmental impact. The paper details the platform’s architecture, technical implementation, and its potential to revolutionize waste management practices.

International Journal for Research in Applied Science and Engineering TechnologyVol. 12(12)
MIT Art, Design and Technology University (IN), Artificial Intelligence in Medicine (Canada) (CA)
Responsible consumption and production
Openalex Percentile: Top 69%
Municipal Solid Waste Management
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Intelligent Waste Management Classification — Shailavi Kargaonkar · International Journal for Research in Applied Science and Engineering Technology (2024) | TGRS Research Map | TGRS