Design of Optimal Waste Management System Using IOT and Machine Learning Technique in Educational Institutions

Along with the development of the modern technologies IoT plays a major role in these days. The implementation of the new things based on the requirement for the need of the society is very easy to design based on the IoT and machine learning techniques. Now a days waste management is appeared as a major issue. Waste management is a daily task in the areas either villages, towns, cities we should maintain that with the large no of labours government should pay huge amount to those workers with or without doing any work. So to avoid all these issues we are proposing a new method called optimal waste management by using IoT and machine learning techniques. By using this technology we will save our time, and no need of large no of workers for the social aspects. To optimize waste management several approaches have been proposed, such as colony optimization, the nearest neighbour search, genetic algorithm and particle swarm optimization techniques. However, the results are still too hazy to be useful in real-world situations, such as universities or cities. Combining effective waste management tactics with low-cost IoT technologies has been popular recently. So to avoid all these issues we are proposing a new method called optimal waste management by using IoT and machine learning techniques. A novel method by forecasting the likelihood of the garbage level in trash bins, waste management is achieved quickly and effectively is proposed.