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Market Analysis and Separation of Waste Into Bio-Degradable and Nonbiodegradable Using Convolutional Neural Networks

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Document pages: 5 pages

Abstract: In recent years, the world is in a state of constant up-gradation, but the problem that we haven’t been able to deal with is our impending advancement to a hygienic, clean and healthy society, is garbage and waste. Mostly in our daily life we encounter dustbins that are excessively full and garbage spilling out of them. This kind of situation is neither good for our environment nor for our advancement. It has been observed that people living in a society prefer not to buy most of the things from their local market, instead they prefer going elsewhere. Due to this scenario, the local market face losses. This fact helps us to carried out a study based on waste material from the society and helping local market to support their requirements using Convolutional Neural Network (CNN) and Data analysis. Furthermore, autonomous separation of waste into biodegradable and non-biodegradable has been carried out.

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