Machine_learning_and_AI

Plant Disease Prediction

Setup for Python:

pip install -r training/requirements.txt

Setup for ReactJS

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

Data Collection

1. Dataset is taken from this kaggle dataset
2. From each class random 600 images are picked for model building.
3. To create train and test dataset run this script training/create_train_test_folder.ipynb

Training the Model

1. Open training/All_plant_disease_new_selected.ipynb in Jupyter Notebook.
2. Update dataset path from your local
3. Run all the Cells one by one
4. Copy the generated model into model folder.

Running the API

1. Go to api folder.
2. Run the FastAPI Server using uvicorn python main.py

Running the Frontend

1. Go to frontend folder.

cd frontend
npm run start

Plant_Disease.mov