It is estimated that by 2050, an alarming 33 billion tons of plastic waste will be on the Earth, overshadowing the Empire State Building by 105,000 times. Since 1960, the recycling rate has increased by less than 7%, while the amount discarded has increased by more than 811%. When materials such as paper, plastic, glass, and metal are not recycled, they end up in landfills, not only occupying space but also contributing to environmental pollution. The United States reported only a 30% recycling rate last year, emphasizing the urgent need for intervention. Current methods to recycle garbage include manual sorting, which is inaccurate, and robotic recycling systems, which are unaffordable. This work aims to address this rapidly increasing problem by designing and developing a cost-efficient robot arm that can recycle and sort garbage with the help of machine learning and computer vision.