Internet of Things: Waste management has become a big problem because of the rise of the Internet of Things (IoT). Every day, cities have to deal with waste. It takes a lot of time and money, and it has an effect on natural, budgetary, efficiency, and social aspects. It also takes a lot of time and money. Using the nearest neighbor search, colony optimization, a genetic algorithm, and particle swarm optimization are all ways to make waste management better, but there are many other ways to do this. They can't be used in real-world systems like universities or cities because the results aren't very clear and they can't be used in real-world systems. People are now using low-cost IoT architectures and waste management strategies that are good for the environment together in a new trend. In this paper, we show how to get rid of waste in a way that is both quick and effective. To make sure we get rid of waste quickly and efficiently, we figure out how much waste there will be in the trash cans. To figure out how to get rid of waste quickly, the system will use machine learning and graph theory. An investigation was done at Ton DucThang University in Vietnam to see how the system worked and how practical it was to use. How does the LoRa module send data? We show how the proposed system, which is built on a simple circuit, costs less, is easy to use and can be replaced with new parts. This way, our system saves a lot of time and money

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