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Current Volume 9

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AI Waste Management
  • Author(s): Supriya S. Kadam Gaikwad; Samiksha Nikalje; Pranavi Shelke; Yadnashree Gaikwad; Tanishka Chakankar
  • Paper ID: 1713537
  • Page: 992-994
  • Published Date: 13-01-2026
  • Published In: Iconic Research And Engineering Journals
  • Publisher: IRE Journals
  • e-ISSN: 2456-8880
  • Volume/Issue: Volume 9 Issue 7 January-2026
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Abstract

Artificial Intelligence (AI) offers a new solution by bringing together smart sensors, the Internet of Things (IoT), and computer vision techniques for effective waste monitoring, sorting, and collection. This paper presents an AI-based waste management system that automates sorting waste into wet and dry categories. It also allows for real-time monitoring of waste levels and supports decisions based on data. The proposed system improves efficiency, reduces human effort, cuts pollution, and encourages sustainable urban development.

Keywords

Artificial Intelligence, Smart Waste Management, IoT, Computer Vision, Waste Segregation, Sustainable Development

Citations

IRE Journals:
Supriya S. Kadam Gaikwad, Samiksha Nikalje, Pranavi Shelke, Yadnashree Gaikwad, Tanishka Chakankar "AI Waste Management" Iconic Research And Engineering Journals Volume 9 Issue 7 2026 Page 992-994 https://doi.org/10.64388/IREV9I7-1713537

IEEE:
Supriya S. Kadam Gaikwad, Samiksha Nikalje, Pranavi Shelke, Yadnashree Gaikwad, Tanishka Chakankar "AI Waste Management" Iconic Research And Engineering Journals, 9(7) https://doi.org/10.64388/IREV9I7-1713537

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Volume 9:

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