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With the rise of the digital era, data has become a prominent resource. A humongous amount of data is generated every single day. This data, typically raw, is said to be in an unstructured format and is converted into a structured format to derive meaning and value and often stored in huge databases. The data is then queried upon using querying languages like SQL. This is where the generation of SQL from natural language comes into the picture. Natural language processing is a technology used to help computers understand the natural language of humans. While it is easier for humans to communicate in natural language, it is almost impossible for a computer to master. By providing an efficient method to convert NL to SQL, this paper provides an overview of the various approaches in existence, and further goes on to develop a mechanism for the same using recurrent neural networks. The proposed …