000			01623nam a22001817a 4500
003			NUST
005			20240919130912.0
082			_a005.1,AHM
100			_aAhmed, Hasnat _923101
245			_aNLP Driven Generative AI for Personalized Data / _cHasnat Ahmed, Areeb Ahmed Tariq, Muhammad Shoaib Arham, Hadia Sattar.
260			_aMCS, NUST _bRawalpindi _c2024
300			_a142 p
505			_aProviding swift and accessible information is crucial for all businesses, customers rarely refer to extensive documentation and information made available to them and bypass all those resources and rely on customer service support teams to address their queries. So, businesses have to hire a lot of staff to assist and resolve user queries. This process can be expensive and with a large number of customers, the process can be slow and may involve significant wait time. The Aim of this project is to provide a way to utilize large language models so that they can be used as a first point of contact to answer customer queries in natural language and help resolve them quickly. Using our solution a user will be able to create chatbot with customized data, relevant to their own business. Utilizing our solution, we will also create a chatbot for National University of Science and Technology (NUST) which will be able to answer students queries regarding university policies and guidelines and whose data can be updated by admin whenever need occur so that Students can get updated information.
650			_aUG BESE _9114271
651			_aBESE-26 _9125902
700			_aSupervisor Fawad Khan _9125904
942			_2ddc _cPR
999			_c611549 _d611549