A Socialized Geotagging Based Garbage Identification and Severity Ranking Mechanism
Paper ID: 2821
Wilayat Ali Khan
Dr. Umer Rashid
With population growth, solid waste management is the main issue for the administration of many developing countries. Because of poor garbage management and the openness of dumpsites, residents are at risk, and the ecology becomes more vulnerable to infectious diseases, resulting in many global environmental problems. Today, technology has pushed the world into digital mode, and many scholars have worked to better the lives on earth. Due to a lack of resources, developing countries cannot acquire modern technologies such as the Internet of Things (IoT) and Smart Cities, resulting in a technology gap. Meanwhile, a mechanism to digitalize a manual system is necessary to address the issue of solid waste management. This research depicts an effort to design and develop a suitable garbage identification and severity ranking mechanism for a major city in Pakistan using a consolidated geographic information system (GIS) and mobile application. A method that may be used besides the cutting-edge technologies like the Internet of Things (IoT) or smart city, since the main objective is to find the most affordable, socially reliable, and effective approach to handle the garbage problem. Using the said mechanism, the type and weight of garbage are registered by users through the socialization of the garbage issue, and the severity level of garbage in a specific location can be determined. More geographic data, such as capacity generation in various residential areas, approximate quantities of multiple types of garbage, and a better road network for operations, can help make this research even more helpful in the long run.