Abstract:
Detecting and classifying fruits, particularly in urban environments, is challenging. Existing fruit classification methods often overlook the health status of fruits. This project aims to not only detect and categorize fruits but also assess their health. The proposed system utilizes advanced CNN algorithms to accurately identify the fruit category and determine its health status based on its Region of Interest (ROI).

Existing Methodology:
Previous attempts used methods like sing ....