| dc.contributor.author | Khan, Saadullah 02-134181-002 | |
| dc.contributor.author | Noman, Hunain 02-134181-135 | |
| dc.contributor.author | Grami, Syed Shees 02-134181-074 | |
| dc.date.accessioned | 2023-12-13T05:09:09Z | |
| dc.date.available | 2023-12-13T05:09:09Z | |
| dc.date.issued | 2022 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/16780 | |
| dc.description | Supervised by Dr. Imran Memon | en_US |
| dc.description.abstract | To deal with worsening COVID-19 situation, we have to increase the efficiency of facilitating the patients so that they can remain safe. For this we have to develop a mobile application build on react native platform that links patient and driver using socket.io server. The app will help the patient locating the nearest vehicle and finding efficient and shortest path to reach the nearest hospital. On the other end it will help driver to locate shortest path to the patient. We may have an enroute testing facility available due to lack of testing capacities in hospital but our primary focus is to save patients time in reaching hospital. To sign up a user will register himself by providing first name, last name, email and password. These credential will be then saved in a database. After registration he will move to login page where he will provide his email and password, ifthe person is authentic and the credentials provided matched from the database the user will directed to page where he can select to be a driver or a patient. After selecting he will be directed towards home page. For patient home page has a type the location and the app will determine the search bar at the top where he can route on the google map API. The remaining part ofthe page is integrated with google patient select the location a pop from the bottom of the page will vehicle and expected time to reach to you. If click the map. As soon as appear showing nearest '"REQUEST” button a request will be sent to the driver. atient. The home page for driver consist of a google map where Authentication has been used for login as driver or p he can see the location to pick the patient. The driver will receive patient' . When the driver accepts the request, the patient will s location as patient send the request soon as background location to watch the trip. Scope of tion is to show that the vehicle scheduling problem for high-risk receive the notification and driver s this android j^)plicati individual transfer in to near hospital which is more difficult than most well-known vehicle routing problems. We have used a socket.io server to connect driver and patient in Leal time. For login signup, authentication and controlling routes we have used rest API Express Backend and for database we have used mongodb. For maps we have used google maps API | en_US |
| dc.language.iso | en_US | en_US |
| dc.publisher | Bahria University Karachi Campus | en_US |
| dc.relation.ispartofseries | BSCS;MFN 361 | |
| dc.title | EFFICENT VEHICLE ROUTING MECHAISM FOR CQVIB-19 PATEINTS | en_US |
| dc.type | Project Reports | en_US |