  Waste management is a certainly a very complex and difficult process
especially in very large cities. It needs immense man power and also uses up
other resources such as electricity and fuel. This creates a need to use a
novel method with help of latest technologies. Here in this article we present
a new waste classification technique using Computer Vision (CV) and deep
learning (DL). To further improve waste classification ability, support machine
vectors (SVM) are used. We also decompose the degradable waste with help of
rapid composting. In this article we have mainly worked on segregation of
municipal solid waste (MSW). For this model, we use YOLOv3 (You Only Look Once)
a computer vision-based algorithm popularly used to detect objects which is
developed based on Convolution Neural Networks (CNNs) which is a machine
learning (ML) based tool. They are extensively used to extract features from a
data especially image-oriented data. In this article we propose a waste
classification technique which will be faster and more efficient. And we
decompose the biodegradable waste by Berkley Method of composting (BKC)
