Cotton Plant Disease Predictor

The Cotton Plant Disease Predictor is a web application that allows users to upload an image of a cotton plant or leaf, and the model will predict if the plant is healthy or diseased. The model is built using a deep learning convolutional neural network (CNN) architecture.

The model is trained on the MobileNetV2 architecture to make it faster and lightweight, making it easy to deploy on low-power devices such as smartphones and IoT devices. The model achieved a validation accuracy of 97%, which indicates that the model is highly accurate and can be relied upon to make predictions about the health of cotton plants.

With the help of this model, farmers can quickly identify if the cotton plant is diseased and take appropriate actions to prevent further spread of the disease, thereby improving crop yield and quality.