Potato Disease Classification Using CNN GROUP NO. 12 Dr V: Your Vegi Doctor *Prakhar Jain(0827CI191044)* **Sahaj Makwana(0827CI191049)** ***Snehal Singh Solanki(0827CI191056)*** ****Dr. Praveen Gupta**** Students Of Acropolis Institute Of Technology And Research, Indore Abstract In this online era, where everyone is using online tools for day-to-day activities, there are many problems that a user/farmer is facing as they have currently slow access over online platform and also have to depended on someone else to control their online tools. They are currently having slow access to identify/detect the disease in plants that they are growing and don’t know how to cure it, so this project uses mobile/web application which will help user to detect and find the solution for a particular vegetable disease using TensorFlow and CNN model. Therefore, with the help of this project we will help them to detect the disease in the growing plants and cure in early stages with mobile/web application. It helps the user to facilitate easy searching of plants disease and its cure. While using this app any user can use basic functions such as taking the photo of the growing plants, knowing about its disease, finding its cure etc. KEYWORDS Potato disease; Disease recognition, Early blight, Late blight, Image segmentation, CNN, TensorFlow, Farmers