Mushroom Image Classification with CNN

The objective of this project is to develop an automated mushroom classification system using Convolutional Neural Networks (CNNs) that can accurately identify and categorize various species of mushrooms from digital images. The system aims to enhance the accuracy and efficiency of mushroom identification to support applications in foraging, agriculture, food safety, and ecological research. By leveraging deep learning techniques, the project seeks to build a robust model capable of distinguishing between edible and poisonous mushrooms, thereby contributing to public health and safety.