Food Quality Detection and Monitoring System
Fruit Quality Detection using Machine Learning, User can upload image through home page that contain upload option and select image from dataset that contains multiple images of fruits. After prediction it will show with accuracy and predict fruit name. Model also provide detail information about precaution and prevention.
Advantages of using a Fruit Quality Prediction System:-
– Helps farmers know when to harvest fruits at their best.
– Assists sellers in sorting and pricing fruits accurately.
– Helps reduce food waste by identifying fruits that may spoil soon.
– Gives consumers confidence in the quality of the fruits they purchase.
– Improves overall satisfaction with fruit purchases.
– Enables better management of fruit inventory and distribution.
Food Classification 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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