Making the Blockchain Smart Contract Really Intelligent in Smart City Context

Abstract

Blockchain, artificial intelligence (AI), and the Internet of Things (IoT) are becoming more connected, creating new opportunities for building smarter, more secure, and automated systems. One area where this combination can be really helpful is environmental monitoring. In this paper, we present a smart contract system that uses a trained machine learning model to predict air quality based on real-time data and runs on the IOTA blockchain. The goal is to make smart contracts more intelligent by enabling them to make predictions and send alerts without needing a centralized server. The model was trained off-chain and then integrated into a smart contract deployed on the IOTA Wasp chain. The system was evaluated using standard regression metrics like the R2score, MAE, and MSE. The results show that the model fits the data well and the whole system runs efficiently, making it suitable for real-time use in IoT environments.