We are living in 21st century and the world is progressing day by day. For progress the environment should be healthy to seek healthy life. With this progress, we are facing some issues. One of the major issue which is ubiquitous problem, it’s about hygiene. In olden times we had to regularly check bins ourselves and empty filled, spill over and stinking bins. These conditions mess up the environment and spread different kind of diseases. Which infect different age groups of people. Garbage monitoring system is required to keep the environment clean and mitigate waste. The paper intends to build an intelligent smart dustbin through which we can do monitoring of trash by using sensors and provide the details about different factor present in trash such as garbage level in trash, germs productions (which are harmful for health), gasses (which causes stinking and germs production), humidity level in trash. In this research we proposed an effective smart bin solution integrated with decision tree model using Rapid miner. This system ensures the proper garbage monitoring and keeps the environment clean. The system shows the accuracy level of 89.47%.