| dc.contributor.author | Yash Agarwal, 19SCSE1010879 | |
| dc.contributor.author | Kartikey Chandra, 19SCSE1010880 | |
| dc.date.accessioned | 2024-09-17T09:12:55Z | |
| dc.date.available | 2024-09-17T09:12:55Z | |
| dc.date.issued | 2022-11 | |
| dc.identifier.uri | http://10.10.11.6/handle/1/18047 | |
| dc.description | SCHOOL OF COMPUTING SCIENCE AND
ENGINEERING
GALGOTIAS UNIVERSITY, GREATER NOIDA | 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 | Other | en_US |
