Picky Basket

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dc.contributor.author Mahrukh Hafeez, 01-131202-017
dc.date.accessioned 2024-09-11T11:22:39Z
dc.date.available 2024-09-11T11:22:39Z
dc.date.issued 2024
dc.identifier.uri http://hdl.handle.net/123456789/17889
dc.description Supervised by Dr. Adeel M.Syed en_US
dc.description.abstract People with varying schedules and dietary preferences may find it challenging to plan meals and select recipes. The project's major purpose is to overcome the previously mentioned problem by developing a unique cooking software. This software tries to simplify meal planning by applying artificial intelligence models to present users with unique dish ideas based on available items. This research seeks to make cooking easier and more pleasurable for people of all backgrounds. The program's fundamental idea is to enable users to make specific suggestions for meals depending on their available resources. Other research and apps have worked for this goal, but with a different method since they deal with ingredient classification by looking at the entire cupboard and picking each one individually. This was the major disadvantage of practically all other programs. This AI-powered software enables users just to take a photo of available food and receive a great meal suggestion. The new technology fits the demands of busy professionals, students, and enthusiastic home cooks, allowing everyone to enjoy the joy of cooking without wasting raw food. en_US
dc.language.iso en en_US
dc.publisher Software Engineering, Bahria University Engineering School Islamabad en_US
dc.relation.ispartofseries BSE;P-2766
dc.subject Software Engineering en_US
dc.subject Delete Ingredient en_US
dc.subject Use Case View Recipe Details en_US
dc.title Picky Basket en_US
dc.type Project Reports en_US


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