Toward Consistent Data Quality Assessment in Heterogeneous Smart Living Systems

TL;DR: A prototype that uses LLMs to automate data quality checks for complex smart living datasets. Smart living environments, powered by a diverse array of IoT devices and software, generate vast amounts of data. For these data to be useful in AI-based services, they must be of high quality. However, the extreme variety in data structures—a result of many different providers and use cases—makes…