The field of argumentation has seen significant growth in recent years through the introduction of Project Debater, Speech by Crowd and several other works that aim to create systems and datasets that can effectively debate humans.While there have been several such works, no system exists that adjudicates a debate to find the winner and provide participants with feedback.Moreover, existing work relies on hundreds, sometimes thousands of annotators to provide arguments and scores, which is costly and time consuming.In this paper, we propose a preliminary idea for a system that can generate verdict and feedback for a debate and learn interactively from other judges by asking questions about the verdict.