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February 2, 2026Open Access

AI-Assisted Waste Management Systems: A Comprehensive Review of Technologies, Case Studies, and Sustainability Impacts

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Authors

MRMetilda Stella Rani G.*, Mythili S., Durga Sri R.

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Overview

This review analyzes AI technologies enhancing waste management, indicating improved efficiency and sustainability.

Key Points

  • The main aim is to explore the integration of AI technologies in waste management systems to improve efficiency and effectiveness.
  • Comprehensive review of existing AI technologies in waste management
  • Evaluation of case studies demonstrating real-time waste management solutions
  • Analysis of AI algorithms for route optimization and predictive analytics
  • AI technologies significantly improve waste collection efficiency by optimizing routes
  • Predictive analytics models forecast waste generation with high accuracy
  • Implementation of sensors enhances real-time waste management and minimizes overflow issues

Cite This Study

Metilda Stella Rani G.*, Mythili S., Durga Sri R. (2026) studied this question.

synapsesocial.com/papers/6980feeac1c9540dea811722https://doi.org/10.5281/zenodo.18428523
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