Cargar (The Next Generation Motorbike Taxi Service Application)

dc.contributor.author	Muddassir Ahmed Khan
dc.date.accessioned	2021-01-29T10:54:38Z
dc.date.available	2021-01-29T10:54:38Z
dc.date.issued	2017
dc.identifier.uri	http://10.250.8.41:8080/xmlui/handle/123456789/22025
dc.description	Supervisor: Dr. Faisal Shafait	en_US
dc.description.abstract	Cargar is the next generation of on-demand service and goods provider aimed to be a leading platform in this domain and be a step ahead of the competition through implementing latest Machine Learning concepts and tools in order to make experience of booking on demand services more intuitive and streamlined. It has initially targeted the domain of booking and hailing rides through an application similar to Uber but with unique features such as an integrated chatbot, right in the application as well as a suggestion system of best places for tourists and regular outgoing people. Once, functional it is aimed at making the process of matching supply and demand more intelligent through active reinforcement learning.	en_US
dc.publisher	SEECS, National University of Sciences and Technology, Islamabad	en_US
dc.subject	Electrical Engineering	en_US
dc.title	Cargar (The Next Generation Motorbike Taxi Service Application)	en_US
dc.type	Thesis	en_US