AI-Powered Garbage Classification System with IoT Implementation

Authors: Avi Dedania, Mr. Dhruv Panchal, Asst. Prof. Janki Patel, Ms Jayati Jani

DOI: https://doi.org/10.37082/IJIRMPS.v13.i2.232392

Short DOI: https://doi.org/g9f2g9

Country: India

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Abstract: Waste management is a major issue worldwide as inappropriate disposal puts the environment and public health at risk. Innovative solutions are required since traditional garbage sorting processes are labour-intensive and inefficient. This study introduces an AI-powered garbage Classification System with Iot, combining real-time Iot-enabled sorting processes with deep learning-based picture classification. To accomplish high-accuracy classification, the system uses a convolutional neural network (CNN) that has been trained on several trash types. An Iot-enabled actuator system is then used to autonomously sort the categorised garbage, decreasing the need for human involvement and increasing operational effectiveness. To guarantee real-time processing and smooth interaction with smart city infrastructure, the suggested approach is implemented on edge devices. High classification accuracy and effective waste segregation are demonstrated by experimental findings, indicating that this strategy is feasible for widespread use. This study demonstrates how AI and IoT have the potential to transform waste management systems and support a circular and sustainable economy.

Keywords: AI, IoT, Garbage Classification, Deep Learning, Smart Waste Management, Sustainable Development

Paper Id: 232392

Published On: 2025-04-18

Published In: Volume 13, Issue 2, March-April 2025

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