Ecosort-Waste Segregation Using ML And IOT

Ecosort-Waste Segregation Using ML And IOT

Author Name : Heet Kalaria, Sameera Jathar, Mansi Gohil, Sarika Mane

ABSTRACT : With the increase in the generation of waste, the maintenance and segregation of waste has become a tough and demanding job. Hence, various innovative and effective solutions need to be designed to deal with the environmental impact caused due to inappropriate waste disposal. The research paper "EcoSort -Waste Segregation using ML and IOT" presents a method for addressing the waste management problem that combines Machine learning (ML) and Internet of Things (IOT) algorithms. Various deep learning models are trained on an image dataset to classify the images into their correct waste categories. The system also comprises smart bins wherein the sensors are used to efficiently segregate the waste into its respective category. The project offers an achievable solution to deal with the significant issue of handling and disposing of garbage.