OPPORTUNITIES FOR ARTIFICIAL INTELLIGENCE IN MUNICIPAL SOLID WASTE MANAGEMENT AT ITAM, UYO

This study aimed to identify the challenges of municipal solid waste management in Itam, Uyo and to proffer
solutions to addressing them. The study identified inadequate public waste disposal bins in the area study even
as the populace refered dumping their waste in public disposal units for it to be collected the responsible waste
management agency. The ineffective collection of waste at collection points occasioned indiscriminate dumping
of waste. To addressing these challenges, this paper presented a strategy of improving waste management
process by utilizing Artificial Intelligent ‘AI’ to optimizing waste collection routing of garbage trucks for
efficient tracking and monitoring of waste management facilities, estimating the waste generation patterns at the
waste collection points and for efficient planning and allocation of MSW management resources. Incorporating
AI in the municipal solid waste management system enhances its operational guidelines and efficiency.