TRANSFORMATIVE TRENDS: AN IN-DEPTH EXPLORATION OF AI-POWERED SQL QUERY GENERATION FOR ENHANCED DATABASE INTERACTIONS
International Research Journal of Modernization in Engineering Technology and Science · 2024
The AI SQL Query Generator project represents a cutting-edge initiative aimed at developing an intelligent system capable of seamlessly translating natural language statements into SQL queries for efficient data retrieval from relational databases.The system places a particular emphasis on the construction of sophisticated queries, including nested structures, aggregate functions, and various clauses such as 'having,' 'group by,' and co-related queries.Leveraging OpenNLP natural language processing techniques like Tokenization, Parts of Speech Tagging, Stemming, and Lemmatization, the project refines user-input statements into a desired format.The subsequent processing identifies the query type, fundamental clause specifying required entities, and condition clause imposing constraints.The final SQL query is dynamically generated by converting and concatenating these components.While providing a powerful tool for users to interact with databases using natural language, it's noteworthy that the current implementation is tailored specifically for MySQL databases.This project stands at the forefront of the intersection between artificial intelligence and database query optimization, promising enhanced user experiences and streamlined data retrieval processes.