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dc.contributor.author | Asif, Huzaifa Ali Reg # 64999 | |
dc.contributor.author | Umair, Muhammad Reg # 64985 | |
dc.contributor.author | Ahmed, Mahnoor Reg # 64988 | |
dc.date.accessioned | 2024-03-13T07:33:17Z | |
dc.date.available | 2024-03-13T07:33:17Z | |
dc.date.issued | 2023 | |
dc.identifier.uri | http://hdl.handle.net/123456789/17083 | |
dc.description | Supervised by Dr. Shoaib Mughal | en_US |
dc.description.abstract | An outbreak of pandemic disease was hit in 2020 that demolished the lives of around 6.5 million people till date. It was a global crisis. When we look at the facts, it is actually threatening to see that around 415 million ofthe world population has diabetes and 200 million people ofthe wo are patients offatal heart diseases and no such precaution has been taken to reduce these numbers. Severn? people around the world die on a daily basis due to lack of knowledge about their basic diet and proper nutrition. The main incentive to make "Intelligent Food Content AnalysisSystem is to inform and briefpeople about the nature ofingredients that tend to cause instability and a hazardous factor to the human body and minimize these harmful effects ofingredients that peop consume on a daily basis. Prior SSL to consumption the Intelligent Food Content Analysis System wants to educate the public food products. Users when using the system will be able to analyze the ingredients with the help of camera scan through OCR before classifying them as Permissible Doubtful or Forbidden in accordance with Islamic law. The app will generate a thoroug Pro analysis ’and it also tries to inform people about which substances or ingredients given 1the meS history are dangerous to them. By enabling everyone to evaluate and verify the components ofany product before consumption, our aim is to reduce the effects ofthese dangerous substances The Android app we're creating will inform users ofthe ingredients combinations provide information on the potential effects they may have. For further improvement, the app be able to recommend beneficiary products to people with threatening diseases. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Bahria University Karachi Campus | en_US |
dc.relation.ispartofseries | BCE;MFN 81 | |
dc.title | INTELLIGENT FOOD CONTENT ANALYSIS SYSTEM | en_US |
dc.type | Project Reports | en_US |