Potato Disease Classification

Training the Model

1. Download the data from kaggle.
2. Only keep folders related to Potatoes.
3. Run Jupyter Notebook in Browser.

jupyter notebook

4. Run all the cells
5. Copy the model generated and save it with the version number in the models folder.

Running the API

Using FastAPI

1. Get inside api folder

cd Api

2. Run the FastAPI Server using uvicorn

uvicorn main:app --reload --host localhost

3. Your API is now running at localhost:8000

Setup for ReactJS

1. Install Nodejs (Setup instructions)
2. Install NPM (Setup instructions)
3. Install dependencies

cd Models
npm install --from-lock-json
npm audit fix

4. Copy .env.example as .env.

5. Change API url in .env.

Running the Website

1. Get inside api folder

cd Website

2. Copy the .env.example as .env and update REACT_APP_API_URL to API URL if needed.
3. Run the frontend

npm run start