Abstract:
This project is aimed to bridge gap between managerial staff, who need to view data on
urgent bases, and the database, without holding any prior qualification in concepts of
SQL. Our project provides a smart interface to the user for them to enter their questions
in language their mostly accustomed that is English and get relevant information. The
system will apply a series of NLP tools such as tokenization, Parts-of-Speech tagging,
Word similarity algorithm to translate Natural Language (NL) into SQL.This relieves
work of database management staff. At the moment, our project provides a crude
solution to achieving this task. It covers only a small set of queries, which we believe are
most commonly used. In the report below we will cover how we are achieving are goal
and its faults.
