  With the advancements in Computer vision techniques the need to classify
images based on its features have become a huge task and necessity. In this
project we proposed 2 models i.e. feature extraction and classification using
ORB and SVM and the second is using CNN architecture. The end result of the
project is to understand the concept behind feature extraction and image
classification. The trained CNN model will also be used to convert it to tflite
format for Android Development.
