Cocoa Leaf Disease Quantum Classifier 🍃⚛️

A hybrid quantum-classical machine learning project to detect cocoa leaf diseases using IBM Quantum hardware and Qiskit.

🧠 Description

• Images of cocoa leaves (healthy vs. diseased) are preprocessed and encoded into quantum circuits.
• A variational quantum classifier (VQC) is trained and evaluated on these circuits.
• Built using Qiskit and Python, with a React.js frontend in development.

📁 Folder Structure

• dataset/ — contains healthy/ and diseased/ subfolders of leaf images (ignored in repo)
• data_preprocessing/ — image loader and normalizer
• quantum_model/ — angle encoder and variational classifier
• training/ — model training and evaluation (WIP)
• test_encode.py — test runner to verify preprocessing + circuit encoding

🚀 Setup

git clone https://github.com/yourusername/cocoa_quantum_classifier.git

pip install -r requirements.txt


# Create environment
python -m venv qubit

# Activate (Windows)
qubit\Scripts\activate

# Activate (macOS/Linux)
source qubit/bin/activate

# Install dependencies
pip install -r requirements.txt