Voice-Driven Natural Language to SQL Query Conversion Using NLP Techniques

Abstract : To get the accurate SQL queries in this application, input is given in the form of natural language, and using NLP techniques, relevant information is extracted to get SQL queries. This application is implemented for non-technical users, which is more user-friendly and has the capability to generate SQL code for complex queries and language with ambiguity. So, this application can be used by the individuals who have limited technical skills and who can enter the queries in the natural language. Even this application helps to generate the SQL code for those who do not have knowledge of SQL code. As per the user requirements, the user input is collected in the format of natural language and translated into SQL queries using algorithms from NLP algorithms. This application helps professionals in the business domain to save their efforts as well as time and analyze huge amounts of data by generating SQL queries automatically, as this application provides more accurate results for SQL query generation. Python libraries such as NLTK and SpaCy are used in this application programming. Keywords: SQL queries, natural language, natural language processing, Python programming, NLTK, Spacy libraries.