The Potato Disease Classification Project aims to build a machine learning model capable of accurately classifying different diseases in potato plants. By using deep learning algorithms, the project seeks to assist farmers and agricultural experts in early disease detection, enabling them to take necessary measures to protect their potato crops and improve overall yield.
https://www.kaggle.com/datasets/emmarex/plantdisease
Model building - Jupyter notebook using tensorflow, keras, python
Frontend - ReactJs
Backend - FastAPI
- Clone the repo
- Install requirements.txt using command- pip install -r requirements.txt
- Go to frontend folder in the terminal and write- npm start
- For backend just run main.py in the api folder.
The model is deployed on render and can be accessed using the following link Link to Demo