A Web App that is made using Flask Web Framework in Python to Detect Plant diseases. The user can upload an image to identify the disease and can get more information about it. Currently, It can detect 15 diseases in 3 plants (Tomato, Potato, and Bell Pepper). The model is trained using a sequential model from TensorFlow by applying additional layers to it. The accuracy is approximately 93% on the testing dataset. It also has the feature of getting current weather information. The web app is hosted on Heroku.
Link to Dataset: https://www.kaggle.com/datasets/emmarex/plantdisease Weather API Link: https://openweathermap.org/api
Image Upload
