Bio-Waste Management

Effective BWM is essential for preserving urban hygiene and advancing environmental objectives in smart city settings. The fast development of bio-waste frequently outpaces the capabilities of conventional waste treatment techniques, resulting in inefficiencies and problems with the environment. This research suggests a unique strategy that uses sophisticated predictive analytics to improve the handling of waste to solve these issues. Cities may enhance recycling procedures, schedule waste pickup more efficiently, and anticipate waste creation more precisely with this strategy. The proposed solution combines reliable predictive analytics with real-time trash detection to overcome the drawbacks of conventional waste management techniques. This combination results in lower operating costs, improved distribution of resources, and increased forecast accuracy. Use of YOLOv8-SPP in predictive analytics is a noteworthy development in BWM, resulting in smart city operations that are more sustainable and efficient.