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@article{173232,
        author = {Satya Akhilesh Pulavarthi and Dr. Kayalvizhi S and Vishnu Vardan Babu and M. Venkat Chowdary},
        title = {Smart Waste Management System Using IoT and Machine Learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {9},
        pages = {2182-2187},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=173232},
        abstract = {The rapid growth of urbanization and population has raised significant concerns about environmental security, particularly in waste management. Improper disposal and segregation of waste pose serious health and environmental risks, especially in densely populated regions like India. Current waste management systems rely heavily on manual segregation, which is inefficient, time-consuming, and hazardous to waste workers. This paper proposes an automated waste management system that leverages Internet of Things (IoT) and deep learning algorithms to classify and segregate waste into wet and dry categories without human intervention. The system utilizes ultrasonic sensors to monitor waste levels and transmits data to an IoT cloud for real-time analysis. By automating waste segregation, the proposed system aims to improve recycling rates, reduce environmental pollution, and promote sustainable waste management practices. The integration of IoT and machine learning not only enhances efficiency but also ensures a cleaner and healthier ecosystem for future generations.},
        keywords = {Waste management, IoT, Machine Learning, Deep Learning, Recycling, Smart Bins},
        month = {February},
        }