A Machine Learning Approach in Garbage Collection and Monitoring with IoT Sensors

The greatest challenge people face today is garbage management and disposal. As the world is driven by technology, there are still small villages in India where waste is still disposed manually by humans. As humans remove waste, it is frequently seen spilled in unexpected places, causing health problems and spreading deadly diseases. All of this occurs due to a lack of information about waste management and a lack of communication with those involved in the process. By considering this fact, waste management can be accomplished efficiently by segregating garbage and using it to produce compost. This research study has proposed a smart waste management system by integrating IoT sensors by checking the level of the bin used, sending GPS signals to the municipality and giving alert message to the authority in case if there is any production of poisonous gas from the garbage bin. The proposed method is a sustainable and reliable waste disposal and management method deployed in the state. The data collection for the proposed system can be leveraged to further plan the most efficient ways to lower waste mishandling and ensure a clean environment. In order to perform this process, machine learning algorithm is incorporated in the data testing and training process to get higher accuracy. The method adopted can also be used for monitoring and segregating the waste in future.