Waste Not, Want Not: A Sustainable Approach to Living


Authors : Rupkatha Goswami; Sayandip Dutta; Surajit Basak; Kaushik Roy; Koushik Pal

Volume/Issue : Volume 10 - 2025, Issue 2 - February


Google Scholar : https://tinyurl.com/4kyab4jp

Scribd : https://tinyurl.com/2a3zp6fu

DOI : https://doi.org/10.38124/ijisrt/25feb1505

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Abstract : The growing population has contributed to a noticeable decline in the standards of waste management systems. As a result, current disposal methods have become increasingly detrimental to the environment. The accumulation of waste in public spaces leads to the contamination of surrounding areas, creating additional environmental and health risks. This situation could worsen various health problems for individuals living nearby. Furthermore, the overall condition of the affected areas is likely to degrade over time. To address this issue and ensure cleaner environments, it is crucial to implement an intelligent waste management system. This research proposes a sophisticated system capable of distinguishing between different types of waste, such as plastics, metals, and non-metallic materials. Given the urgency of the problem, the need for an automated waste management system has never been greater. Without effective segregation, proper waste disposal becomes virtually impossible.

Keywords : Waste Management, ARDUINO, GSM, Tinkercad, Distance Sensors, Passive Infrared Sensors (PIR).

References :

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  7. Charles Rajesh Kumar. J, Mary Arunsi. B, Jenova. R, M. A. Majid, “Sustainable Waste Management Through Waste to Energy Technologies in India-Opportunities and Environmental Impacts”, Int. Journal of Renewable Energy Research,Vol. 9, Issue 1, 2019.
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The growing population has contributed to a noticeable decline in the standards of waste management systems. As a result, current disposal methods have become increasingly detrimental to the environment. The accumulation of waste in public spaces leads to the contamination of surrounding areas, creating additional environmental and health risks. This situation could worsen various health problems for individuals living nearby. Furthermore, the overall condition of the affected areas is likely to degrade over time. To address this issue and ensure cleaner environments, it is crucial to implement an intelligent waste management system. This research proposes a sophisticated system capable of distinguishing between different types of waste, such as plastics, metals, and non-metallic materials. Given the urgency of the problem, the need for an automated waste management system has never been greater. Without effective segregation, proper waste disposal becomes virtually impossible.

Keywords : Waste Management, ARDUINO, GSM, Tinkercad, Distance Sensors, Passive Infrared Sensors (PIR).

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