Food Ingredient Identification using Machine Learning | Diet Recommendation System using Machine Learning
In this project video we will show diet recommender system with food recognition system using machine learning. User have to upload label image from computer. then model will detect text from image extract those text and it will extract all the ingredients written in label image and analyze the additives like Substance, Effect and Impact.
We adapting a method CNN to act as a multi-label predictor for learning recipes of their list of ingredients. Our model is able to predict any item from a list of ingredients of given picture.
Software Requirements :-
• Coding Language : Python
• Implementation: Software Framework.
• Operating system : Windows 10 / 11.
• Graphical User Interface : Tkinter
Hardware Requirement :-
• Input Devices : Keyboard, Mouse.
• System : Pentium i3 Processor.
• Hard Disk : 500 GB.
• Ram : 4 GB.
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