Eco Earn: E-Waste Facility Locator

Authors

  • Mrs. D. Geetha Assistant Professor, Department of CSE(Artificial Intelligence & Machine Learning),
  • Mrs.G. Haritha Assistant Professor, Department of CSE(Artificial Intelligence & Machine Learning)
  • B. Pavani B.Tech 4th year Student, Department of CSE(Artificial Intelligence & Machine Learning), Vignan’s Institute of Management and Technology for Women ,Hyderabad, Telangana - 501301
  • Ch. Srivalli B.Tech 4th year Student, Department of CSE(Artificial Intelligence & Machine Learning), Vignan’s Institute of Management and Technology for Women ,Hyderabad, Telangana - 501301
  • P. Chervitha B.Tech 4th year Student, Department of CSE(Artificial Intelligence & Machine Learning), Vignan’s Institute of Management and Technology for Women ,Hyderabad, Telangana - 501301
  • Syed. Ishrath B.Tech 4th year Student, Department of CSE(Artificial Intelligence & Machine Learning), Vignan’s Institute of Management and Technology for Women ,Hyderabad, Telangana - 501301

DOI:

https://doi.org/10.63278/mme.vi.1632

Keywords:

Recycling, Circularity, E-cycler, Eco-incentives, E-snap.

Abstract

The rapid growth of E-waste (electronic waste) contributes to critical environmental and health challenges. According to government assessments, E-waste has risen more than fivefold over the past seven years and is estimated to exceed 800,000 tonnes. To address this issue, our platform uses artificial intelligence (AI) and machine learning (ML) to enhance E-waste management, offering real-time analysis and alerts about the hazardous and valuable components of outdated devices. Users can effectively locate nearby E-waste disposal services through a path-optimization feature, promoting responsible recycling and disposal. In addition, a chatbot improves user involvement. By combining sustainability beliefs and circular approaches, this action boosts awareness and supports e-waste management, providing a more sustainable hereafter.

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How to Cite

Geetha, Mrs. D., Mrs.G. Haritha, B. Pavani, Ch. Srivalli, P. Chervitha, and Syed. Ishrath. 2025. “Eco Earn: E-Waste Facility Locator”. Metallurgical and Materials Engineering, May, 767-73. https://doi.org/10.63278/mme.vi.1632.

Issue

Section

Research