Automated SQL Query generation from Natural Language using NLP

dc.contributor.author	PROJECT SUPERVISOR DR. WASI HAIDER BUTT SIR ALI SAEED, NS MUHAMMAD ALI UPPAL NS MUHAMMAD SHAHROZE ALI NS ZEESHAN AMIR PC HASAN GORAYA
dc.date.accessioned	2025-03-12T07:16:11Z
dc.date.available	2025-03-12T07:16:11Z
dc.date.issued	2020
dc.identifier.other	DE-COMP-38
dc.identifier.uri	http://10.250.8.41:8080/xmlui/handle/123456789/50931
dc.description	PROJECT SUPERVISOR DR. WASI HAIDER BUTT SIR ALI SAEED	en_US
dc.description.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.	en_US
dc.language.iso	en	en_US
dc.publisher	College of Electrical & Mechanical Engineering (CEME), NUST	en_US
dc.title	Automated SQL Query generation from Natural Language using NLP	en_US
dc.type	Project Report	en_US