Identifying User Requirements Using LLMs

Saltwater intrusion caused by rising sea levels, droughts, and increased freshwater pumping in the coast and tidal regions poses a significant threat to people’s daily lives and industrial and agricultural production. Many organizations and individuals have come together to develop various products to reduce its impact. A major challenge in this is that different water users have different water usage types such as irrigation, power generation, sand & gravel washing, product manufacturing, drinking water, etc. and it is essential to learn and understand the needs of each user group so that appropriate services can be provided and used effectively. To effectively identify the diverse requirements from the water users, in this paper, we proposed a method to use Large Language Model (LLM) to analyze water user interview transcripts and construct an AI-powered chat system. The system supports quick and accurate understanding of client water usage requirements under the situation of saltwater intrusion.