This project is about classifying Orange and Apple fruit based on support vector machine (SVM) algorithm. It contains the following script in two main file as well as the final report documentation:

1. Preparing datasheet
2. Training SVM model
3. Evaluating SVM classifier model
4. Saving SVM train model
5. testing the saved SVM model in realtime using raspberry pi camera

Requirements:

1. dataset image for orange and apple class
2. Libraries e.g sklearn package, numpy, opencv etc.
3. raspberry pi camera
4. raspberry pi ( your choice for model type but prefer raspberry pi 4 model B with faster processor)

A video demontration on this can be found at: https://youtu.be/IHFCdor68Iw

For reporting bugs or help regarding any aspect of the SVM algorithm, please do email: clarida045@gmail.com