Development of Pandemic Contact Tracing System Using Convolutional Neural Network (CNN)

Abstract

The study presents a pioneering approach to pandemic management by harnessing Convolutional Neural Network (CNN) to revolutionalize contact tracing systems. The primary focus is on enhancing accuracy, efficiency, and adaptability within pandemic scenarios. The study’s novelty lies in the strategic selection of CNN, a powerful deep learning methodology renowned for its intricate pattern recognition capabilities. This innovative choice transcends traditional techniques, introducing a flexible and adaptable system tailored for identifying potential contacts and exposures during pandemics. The study encompasses the complete lifecycle of the contact tracing system, from development and implementation to real-world evaluation.