cat > README.md << 'EOF'
A deep learning web application that classifies flower images into 5 categories using TensorFlow and Flask.
- Image Classification: Identifies daisies, dandelions, roses, sunflowers, and tulips
- Web Interface: User-friendly Flask web application
- Deep Learning: Custom CNN model trained on 3,670 flower images
- Real-time Predictions: Instant classification with confidence scores
- Accuracy: 69% on validation set
- Classes: 5 flower types
- Training Data: 3,670 images from TensorFlow dataset
- Model Size: ~434KB (optimized)
- Clone the repository:
git clone https://github.com/yourusername/flower-classifier.git
cd flower-classifier