Scoping project on machine learning for countering customs tax evasion in Zambia
This project explores the potential of using machine learning to detect imports most likely to evade customs tax, aiming to improve accuracy and reduce enforcement costs. It focuses on assessing and preparing high-quality customs data in collaboration with the Zambia Revenue Authority to enable effective model training and implementation.
