Cotton Plant Disease Classification using CNN

Steps

1. Install Python 3.11.4 and Add to PATH

Windows:

• Download Python 3.11.4 from python.org.
• During installation, check "Add Python to PATH".
• Verify installation using:

    python --version
    python3 --version

macOS/Linux

• brew install python@3.11 or sudo apt update && sudo apt install python3.11
• Verify installation using:

python3 --version

a

2. Clone the GitHub Repository

• git clone https://github.com/InkolluvenkatBhargav/CNN.git
• cd CNN.git
• Download Dataset from Here

3. Create a Virtual Environment

• Windows python -m venv venv
• macOS/Linux python3 -m venv venv

4. Activate the Virtual Environment

• Windows CMD venv\Scripts\activate
• Windows Powershell venv\Scripts\Activate.ps1
• macOS/Linux source venv/bin/activate

5. Install Dependencies from requirements.txt

• In terminal pip install -r requirements.txt

6. Run CNN Model

• In Terminal run python model.py
• After successful execution you should see a file named
  • pred_cotton.h5
• For Visualization execute each cell in model.ipynb by selecting venv kernel

7. Run Flask Application

• python index.py

8. Open Browser

• Go to http://127.0.0.1:5000/