Integrated CNN and Waterwheel Plant Algorithm for Enhanced Traffic Detection

Led a team in the design and implementation of a hybrid CNN and Waterwheel Plant Algorithm (WWPA) to detect and track vehicles in global traffic data, achieving a model accuracy of 97.28%.'

The project focused on developing a diverse traffic dataset to enhance model generalization. The fusion of CNN and WWPA established a new benchmark for object detection systems in smart cities, offering scalable solutions for urban planners.