static: consists of favicon image file, img folder and css folder (this is a standard structure for a flask web application) templates: consists of HTML templates to be rendered by Flask (this is a ...

This repository is about an end to end implementation of deep learning cotton plant disease classification web application using flask. The dataset is downloaded from Kaggle. and total size is 152 MB.

To democratize access to the solution, a user-friendly web interface is developed using Flask, enabling seamless interaction with the classification model. Users can upload wafer map images through ...