Fruit Image Classification System using Deep Learning

A computer vision and deep learning project built using Python. The project focuses on developing and training a Convolutional Neural Network (CNN) model to accurately identify and classify various types of fruit images. The workflow included data preprocessing, model architecture design, training, and evaluating performance to achieve high prediction accuracy.