| 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 |