RAIL HAILING ANDROID APP

dc.contributor.author	Agarwal, Yash
dc.contributor.author	Chandra, Kartikey
dc.date.accessioned	2024-09-20T05:36:03Z
dc.date.available	2024-09-20T05:36:03Z
dc.date.issued	2021-12
dc.identifier.uri	http://10.10.11.6/handle/1/18237
dc.description	SCHOOL OF COMPUTING SCIENCE AND ENGINEERING DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING GALGOTIAS UNIVERSITY, GREATER NOIDA, INDIA	en_US
dc.description.abstract	This software aims at automating the process of interaction between cab drivers and passengers and hence, increasing the efficiency of both. The application provides quick and accurate results based on the corresponding input. The application helps keep track of all the data associated with the trips a user chooses to proceed with. It also provides reliability and accountability so that a user can choose exactly which other user he/she would like to proceed the interaction with. So in this application we link the Arogya Setu Server which helps to detect whether the rider has COVID-19 symptoms or not. It helps the driver to get away from the COVID-19 infected passengers.	en_US
dc.language.iso	en_US	en_US
dc.publisher	Galgotias University	en_US
dc.subject	RAIL HAILING	en_US
dc.subject	ANDROID APP	en_US
dc.title	RAIL HAILING ANDROID APP	en_US
dc.type	Technical Report	en_US