• Dr. S. Ramesh
• Dr. J.S. Kanchana
• K.P. Siranjeevi
• M.N. Yashwanth Kumar

In today’s fast-paced world of the internet age with all the amenities and latest gadgets, the major urban cities in the world are still struggling with trash management. Only a few countries use the recycling of wastes but most of them dump all the trash to the landfills. The quantity of generated trash in day to day life is affecting land, water, and air which causes a serious threat to the environment. The objective is to develop a system that can classify the trash images into their correct categories with the help of Machine learning and Deep learning methodologies. In this work the system is going to classify the Garbage into nine categories Aluminum, Carton, Organic Waste, Other plastics, Paper and Cardboard, Plastic, Textiles, Wood. The classification are going to be done using Decision Tree Random Forest Classification algorithm. Extensive experiments on various real-world datasets demonstrate the effectiveness of our method.

Decision Tree, Random Forest, Garbage Classification

"GARBAGE CLASSIFICATION USING RANDOM FOREST ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 5, page no.c477-c480, May-2022, Available :http://www.jetir.org/papers/JETIR2205268.pdf

"GARBAGE CLASSIFICATION USING RANDOM FOREST ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 5, page no. ppc477-c480, May-2022, Available at : http://www.jetir.org/papers/JETIR2205268.pdf