In this research, an intelligent system is designed for the users to access the database using natural language. It accepts natural language input and then converts it into an SQL query. Using query language for dealing with databases has always been a professional and complex problem. The system currently handles single sentence natural language inputs and concentrates on MySQL database system. The system accommodates aggregate functions, multiple conditions in WHERE clause, join operations, advanced clauses like ORDER BY, GROUP BY and HAVING. The natural language statement goes through various stages of Natural Language Processing like morphological, lexical, syntactic and semantic analysis resulting in SQL query formation. Intelligent Interface is the need of database applications to enhance efficient interaction between user and DBMS. The research focuses on making the system more dynamic.Improvements have been introduced to the system by incorporating preprocessing of text, named entity recognition, building hierarchical relations, semantic similarity and negation handling using dependency graphs.