Fruit Quality Detection using Image Processing
A Fruit Quality Prediction System in Python helps us to test out if fruits are good or not. It looks at things like size, color, and how fresh they are. It learns from lots of fruit data to make guesses about new fruits. Python, a type of computer language, helps us build this system easily. It helps them manage fruits better, waste less, and make everyone happy with their fruit choices.
Project Working of Food Quality Prediction using Machine Learning:-
Fruit Quality Prediction using Machine Learning, this project developed using python programming language and graphical user interface designed through Django framework. Firstly user have to run python script then it will provide a URL, user have to copy that URL and paste in any browser to open web framework. Web page contains four section. Home Page, About Us, Login, Register.
Fruit Quality Detection using Image Processing
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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