Food Ingredient Identification using Deep Learning
In this project 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. Model is trained on large dataset of images with different ingredients so whenever user gave the input image to model then model can easily identify that particular ingredients. This Machine Learning model tackle the problem of food ingredient recognition as a multi-label learning.
Food Recommendation Models Using Deep Learning
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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