• Vrushali Dilip Wankhede

Now a day’s solid waste generation become a large problem. To manage the solid waste is important otherwise it will cause hazardous issue, Artificial Intelligence and Machine learning technology issued in waste management system. Due to Fast increase in population, the improper waste management in cities resulting in increased pests and spreading of diseases, dumping garbage onto the streets and in public areas is a common synopsis found in all developing countries and this affecting the environment and creating several unhygienic conditions. In order to deal with these problems there will be solution that developed proper design a combination of hardware and software technologies is like smart dustbin like that to the normal dustbin in order to provide free internet facilities to the user for a particular period of time. The technology awards the user for keeping the surrounding clean and thus work hand in hand for the proper waste management in locality. Smart net bin uses multiple technologies firstly the technology for measuring the amount of trash dumped secondly the movement of the waste and lastly sending necessary signals and connecting the user to the Wi-Fi system. The proposed system will function on client server model, a cause that will assure clean environment, good health, and pollution free society

management, solid, disposal artificial, machine learning, deep learning, Smart cities, Smart Bins.

"Literature Review for solid waste management using Artificial Intelligence and machine Learning Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 2, page no.f208-f215, February-2025, Available :http://www.jetir.org/papers/JETIR2502531.pdf

"Literature Review for solid waste management using Artificial Intelligence and machine Learning Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 2, page no. ppf208-f215, February-2025, Available at : http://www.jetir.org/papers/JETIR2502531.pdf