ADVANCED EMBEDDED TECHNOLOGY AND MACHINE LEARNING BASED MEDICAL WASTE SEGREGATION SYSTEM

Abstract Garbage collection might be a huge source of concern in today's culture. The method utilized to eliminate a large amount of produced garbage has an environmental impact. Unloading
garbage in the open at dump sites may be a widespread practise. This strategy has an impact on both human health and the health of plants and animals. The hazardous waste disposal process
pollutes both surface and groundwater. It is capable of producing disease vectors that spread dangerous illnesses. In India, the diversity of medical waste is becoming a worry. Unintentionally
deposited waste creates a mess that is difficult to clean up on the fringes of cities and other urban regions. The manual labor required under the current system may lead the individual in
question to be constantly unwell. The laudable aims of the proposed framework include promoting an automated system to save many people's lives and build a cleaner, greener earth. To
overcome such issues, an automatic waste segregator is employed in the emergency department and healthcare institution. Because we utilize sensors to recognize and segregate different forms
of waste. This information can also be sent to the head or the person in control through message utilizing a cloud-based regulator.