/Potato-Disease-Classification

🥔 Potato Disease Classification (Deep Learning Project) : Using CNN Architecture and TensorFlow

Primary LanguageJupyter Notebook

    🥔 Potato Disease Classification

Deep Learning Project Using Tensorflow, GCP & React

Demo · Data · Request Feature

🎯 Goal

The goal of this project is to help farmers diagnose their crops. This project uses image classification using CNN architecture with Tensorflow to detect potato plant diseases, deployed to GCP and used in a web frontend app made with React.

💾 Dataset Used

This data contains three datasets that contains photos of potato leaves. One dataset contains Healthy potato leaves, Early Blight and Late Blight.

More info about dataset can be found here :

📝 Project Architecture

potatodisease_architecture

🛠️ Technologies Used

Python Pandas Jupyter TensorFlow FastAPI Google Cloud React

Installation :

  1. Clone the repository:

git clone https://github.com/Hamagistral/Potato-Disease-Classification.git

Training the Model Usage :

  1. Go to the training directory:

cd training

  1. Install the required packages:

pip install -r requirements.txt

  1. Run the notebook

jupyter notebook

Front End Usage :

  1. Go to the frontend directory:

cd frontend

  1. Install dependencies:

npm install

  1. Run the app:

npm run start

📨 Contact Me

LinkedIn • Website • Gmail