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.
Authors
- Shailavi Kargaonkar
Institutions
- MIT Art, Design and Technology University (IN)
- Artificial Intelligence in Medicine (Canada) (CA)
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