JavaScript is disabled for your browser. Some features of this site may not work without it.
Welcome to DSpace BU Repository
Welcome to the Bahria University DSpace digital repository. DSpace is a digital service that collects, preserves, and distributes digital material. Repositories are important tools for preserving an organization's legacy; they facilitate digital preservation and scholarly communication.
| dc.contributor.author | 03-134162-060, USAMA IFTIKHAR | |
| dc.contributor.author | 03-134162-076, SAIF UR REHMAN | |
| dc.date.accessioned | 2024-10-25T09:06:17Z | |
| dc.date.available | 2024-10-25T09:06:17Z | |
| dc.date.issued | 2020-07-20 | |
| dc.identifier.other | BULC629 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/18242 | |
| dc.description.abstract | We are designing a web-based Restaurant suggestion system. Which will help the user to find the best restaurant in his area? The system will ask the user to enter his credential like his location and name of the specific food he is willing to eat. As the World Wide Web continues to grow at an exponential rate, the size and complexity of many web sites grow along with it. For the users of these web sites, it becomes difficult and time-consuming to find the information you are looking for. The purpose of this project is to help the people to find their restaurant easily without any concern. Earlier most people don’t know where they get the quality food according to their budget and location. This system will guide them to the right place. Mainly we use Html, CSS, bootstrap and Laravel to implement the front end and backend of our website and then scrap the data from top restaurant websites for the better experience of the user. | en_US |
| dc.description.sponsorship | Supervisor: Zia Ul Rehman | en_US |
| dc.language.iso | en | en_US |
| dc.relation.ispartofseries | ;BULC629 | |
| dc.title | Go Eat | en_US |
| dc.type | Project Reports | en_US |
Files in this item
This item appears in the following Collection(s)
-
BS (CS) (BULC) [217]