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GRENZE International Journal of Engineering and Technology Vol. 9 (2023), Issue 2

IoT based Solid Waste Management and Analysis Applying Machine Learning Techniques

Authors

Chandrika J, Akshay M A, Aniruddha G A, Vishwas S, Pramoda M G

Abstract

The Solid Waste management and Analysis work is a crucial initiative that addresses the environmental and public health impacts associated with the improper management of solid waste. This work aims to understand and improve the management of solid waste in a community. This work will involve studying the current state of solid waste management in the community, identifying sources of waste, and analysing the composition of the solid waste stream. This information will be used to develop an action plan to reduce the amount of solid waste generated, increase recycling and composting, and improve the overall management of solid waste. This work will also focus on understanding the economic and social factors that influence solid waste generation and management. The goal is to create a more sustainable and efficient solid waste management system that reduces the environmental and public health impacts associated with solid waste. Additionally, This work will focus on educating the community about the importance of solid waste reduction and encouraging participation in solid waste management programs. This work will also include an assessment of the existing infrastructure and facilities, as well as evaluating the potential benefits of new technologies and innovations in solid waste management. The end goal is to create a cleaner, healthier, and more sustainable community, and to promote sustainable living through efficient waste management

Pages: 1435 - 1439