The problem of insufficient waste management in the country can be solved by adopting smart technology. However, this technology is slowly adopted by local communities due to the absence of locally made smart waste management system. Thus, the researchers develop a mobile-based smart waste management and reward system. The system is composed of the mobile based application and smart trash bin. The system developed using the convolutional neural network (CNN) scan and classify waste material and turned recyclable materials into equivalent point. The equivalent point can be used to exchange cash. The automated smart trash intelligently classified waste into dry waste and wet waste and put these into their designated bins. The system is evaluated by 300 respondents using the system quality model (ISO 250100) and found to be highly acceptable in terms of its usability, functional suitability, and performance efficiency. While the portability and reliability of the system is acceptable.
