Potato Disease Classification (Motivated from Codebasics Youtube channel)

Setup for Python:

1. Install Python (Setup instructions)

2. Install Python packages

pip3 install -r training/requirements.txt
pip3 install -r back-end/requirements.txt

Setup for ReactJS

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

cd front-end
npm install --from-lock-json
npm audit fix

4. Copy .env.example as .env.

5. Change API url in .env.

Training the Model

1. Download the data from kaggle.
2. Only keep folders related to Potatoes.
3. Put dataset into training/data folder
4. Run Jupyter Notebook in Browser.

jupyter notebook

4. Open training/potato-disease-training.ipynb in Jupyter Notebook.
5. In cell #2, update the path to dataset.
6. Run all the Cells one by one.
7. Copy the model generated and save it with the version number in the models folder.

Running the API

Using FastAPI

1. Get inside back-end folder

cd back-end

2. Run the FastAPI Server using uvicorn

uvicorn main:app --reload --host 0.0.0.0

3. Your API is now running at 0.0.0.0:8000

Running the Frontend

1. Get inside front-end folder

cd front-end

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