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Research Article

E-Recycling: An Application to Facilitate Recycling

  • Paper ID 451
  • Volume 4, Issue 2
  • Pages 420-421
  • Published Online: March-April 2023
  • 1 Views
Open Access Peer Reviewed

Authors

  • Ashish Salvi1
  • Madhavi Mali2
  • Prathmesh Shinde3
  • Ramiz Shaikh4
  • Om Morye5

1345 IT Department, Pimpri-Chinchwad Polytechnic, Maharashtra, India. 2Professor, IT Department, Pimpri-Chinchwad Polytechnic, Maharashtra, India.

Article Information

DOI
No DOI
Published Online
March-April 2023
Pages
420-421
Article Type
Research Article
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Abstract

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Abstract: E-Recycling is an Android application which allows its users to upload images of waste they wish to recycle. The application uses a Tensor Flow Lite model to detect and classify waste (labels: Recyclable, Organic) which employs Image Processing using Convolutional Neural Networks (CNN). The application borrows its concept from the existing e-commerce applications present in the market and implements a similar concept in order to simplify recycling and make it more accessible to the general public. It also provides the users with an interface that shows nearby recycling hubs and provides contact information using Places API (Google).

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  • ISSN 2582-8746
  • Open Access
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