Home Inventory with ML

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dc.contributor.author Khan, Tabrez
dc.contributor.author Khan, Farhan (19CO27)
dc.contributor.author Khan, Zaki (19CO34)
dc.contributor.author Mulla, Saad (19CO43)
dc.contributor.author Siddiqui, Ehtesham (19CO59)
dc.date.accessioned 2023-06-07T05:55:17Z
dc.date.available 2023-06-07T05:55:17Z
dc.date.issued 2023-05
dc.identifier.uri http://localhost:8080/xmlui/handle/123456789/4112
dc.description.abstract This paper describes the project on the topic of Home Inventory management system, it is a mobile application that is use for the track home inventory. It has a built-in intelligence system that make user work easy. In this advanced era of technology, we don't have any mobile application or site that can help user to manage their inventory, track their family nutrition, track their purchase record and suggest them recipe based on the item they have in inventory. In this project,our main aim is to save money, time, and save food from wastage. It also provide recipes and many more. It is a system designed to help individuals create an accurate and comprehensive inventory of their personal possessions. The system uses machine learning techniques to automatically identify and categorize items based on images and descriptions provided by the user. This is an Application which is responsive and can be accessed from any android or iOS device connected to the internet. en_US
dc.language.iso en en_US
dc.publisher AIKTC en_US
dc.relation.ispartofseries PE0734;
dc.subject Project Report - CO en_US
dc.title Home Inventory with ML en_US
dc.type Project Report en_US


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