DSpace Repository

Food Item Identification and Calories Detector

Show simple item record

dc.contributor.author Anuss Qadeer, 01-134151-015
dc.date.accessioned 2019-03-12T05:58:22Z
dc.date.available 2019-03-12T05:58:22Z
dc.date.issued 2018
dc.identifier.uri http://hdl.handle.net/123456789/8345
dc.description Supervised By Mahwish Pervaiz en_US
dc.description.abstract Crops are grown and humans consume them. In order to cope with the increasing demand of food, different new methods are being used, some are using artificial ways to grow inorganic food and some are still using old methods to produce organic food. In order to detect if your food has enough calories for your daily consumption we are designing this system which can recognize food and estimate the calorific and nutrition content of foods. Our system automatically detects food in real-life settings containing blurred backgrounds and then gives feedback to user. en_US
dc.language.iso en_US en_US
dc.publisher Bahria University Islamabad Campus en_US
dc.relation.ispartofseries BS (CS);P-8028
dc.subject Computer science en_US
dc.title Food Item Identification and Calories Detector en_US
dc.type Project Reports en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account