Garbage Segregation Robot Using Machine Learning

Cities have big problems with trash. In general, most of the population don't know how to separate trash well. This hurts nature and makes recycling harder. Lots of trash that could be recycled gets mixed with trash that can't be recycled. This leads to more trash dumps, more air pollution, and health issues. In this paper, the GaRboT (Garbage Segregation Robot), provides a new solution to this problem. With more people in cities and old ways of getting rid of trash does not work well. It is a smart robot with sensors that learns through AI and gets better at sorting trash. This means less work, more recycling, and less trash going to dumps. GaRboT is a prototype developed to improve the trash management segregates the waste into wet and dry categories and accurately detects four different classes of dry waste. This makes cities cleaner and more sustainable, and brings in new ways to deal with trash.