Contribution Guide

Welcome! Here’s how you can contribute and set up the project locally.

1️⃣ Fork and Clone the Repository

1. Fork this repository on GitHub.
2. Clone it to your local machine:

git clone <your-forked-repo-url>
cd <repo-folder>

2️⃣ Create a Python Virtual Environment

Open a terminal in the project folder and run:

python -m venv venv

Activate it:

• Windows:

venv\Scripts\activate

• Mac/Linux:

source venv/bin/activate

3️⃣ Install Required Libraries

With the virtual environment activated, install dependencies:

pip install tensorflow flask flask-babel opencv-python matplotlib

⚠️ Optional: numpy and werkzeug may be required, but they’re usually installed automatically.

4️⃣ Train the Model (First-Time Setup Only)

If you don’t already have pearl_millet_ergot_model.h5, train the model:

python train.py

This will:

• Train the CNN on the dataset
• Save the trained model as pearl_millet_ergot_model.h5

If you already have this file, you can skip this step.

5️⃣ Test the Model (Optional)

To verify the model works:

python test.py

Ensure there’s a test.jpg image in your folder. Output will be something like:

Diseased: Ergot

or

Healthy

6️⃣ Run the Flask App

Start the Flask server:

python app.py

You should see:

* Running on http://127.0.0.1:5000 (Press CTRL+C to quit)

7️⃣ Open in Browser

Go to:

👉 http://127.0.0.1:5000

You’ll see the homepage (index.html). Navigate to /identify to upload an image and get results.

Download Dataset (Drive Links)

• Train Zip
• Val Zip