A Machine Learning-Enhanced Method for Quantifying and Recycling Construction and Demolition Waste in India

Construction and Demolition Waste in construction industries generate 10 to 12 million tons of waste per year. Not even 50% of the waste generated by major construction materials such as cement, bricks, wires, stones, wood, plastic, and steel pipes is recycled. And 70% of Indian construction industry is not aware of recycling technologies. The solid waste extracted from municipal waste is used in industries and the resulting sludge is eventually dumped on urban land. A large amount of sludge is emitted as a result of coal and ash used in the use of nuclear reactors, iron and metal industries, which produce large amounts of waste. In this paper, a machine learning-enhanced method for quantifying and recycling construction and demolition waste. Various industrial wastes such as wastes from non-ferrous industries, sugar manufacturing, paper manufacturing, and fertilizer industries also generate solid waste. The local administration is not responsible for the management of solid waste from industries. The respective factories themselves manage them and take the necessary prior permission.