  Researchers currently have been focusing on smart contract vulnerability
detection, but we find that developers' intent to write smart contracts is a
more noteworthy security concern because smart contracts with malicious intent
have caused significant financial loss to users. A more unfortunate fact is
that we can only rely on manual audits to check for unfriendly smart contracts.
In this paper, we propose \textsc{SmartIntentNN}, Smart Contract Intent Neural
Network, a deep learning-based tool that aims to automate the process of
developers' intent detection in smart contracts, saving human resources and
overhead.
  The demo video is available on \url{https://youtu.be/ho1SMtYm-wI}.
