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dc.contributor.author | 03-134171-009, FAHAD AMIN | |
dc.contributor.author | 03-034171-053, NOOR FATIMA | |
dc.date.accessioned | 2024-10-28T07:29:43Z | |
dc.date.available | 2024-10-28T07:29:43Z | |
dc.date.issued | 2021-01-18 | |
dc.identifier.other | BULC700 | |
dc.identifier.uri | http://hdl.handle.net/123456789/18278 | |
dc.description.abstract | In the modern era, it requires a great effort to find a healthy meal for any person who has a hectic routine and has to spend his daily life in the office or in attending different meetings. As a result, they start taking unhealthy meals. The proposed system will help them in choosing a healthy diet according to their diet plan. The developed system will take necessary information related to customer’s health. This information will be analysed using machine learning algorithms to develop a weekly diet plan for the user. If the users order food outside of their diet plan then the system will revise the diet plan with an intimation that it is not good for their health. This system will offer the customer with different meal packages along with their prices. If the user wants to buy the food using this system (by using an online payment method or by cash on delivery method), the meal will be delivered to the customer. The developed system will be a mobile-based application using the latest technology (react-native & SQLite) based on machine learning algorithms. | en_US |
dc.description.sponsorship | Supervisor: Hafiz Bilal Shahid | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartofseries | ;BULC700 | |
dc.title | Intelligent Canteen | en_US |
dc.type | Project Reports | en_US |