🌱 Plant Disease Recognition

🎯 About

• 🟢 Healthy plants
• 🟡 Powdery mildew disease
• 🔴 Rust disease

🏗️ MLOps Pipeline

1. Azure ML Training Pipeline
   • Automated data preprocessing
   • Model training with hyperparameter tuning
   • Model versioning and registry
2. GitHub Actions CI/CD
   • Automatic training on code push
   • Docker containerization
   • Kubernetes deployment
3. Production Deployment
   • FastAPI REST API
   • Kubernetes orchestration
   • Load balancing with 2 replicas
4. Interactive Demo
   • This HuggingFace Space with Gradio interface

🚀 Technology Stack

• Framework: PyTorch
• Model: ResNet50 (pretrained, fine-tuned)
• Training: Azure Machine Learning
• CI/CD: GitHub Actions
• Production: Docker + Kubernetes
• Demo: Gradio on HuggingFace Spaces

📊 Model Details

• Architecture: ResNet50 with custom classifier head
• Input Size: 224x224 RGB images
• Classes: 3 (healthy, powdery, rust)
• Training: Azure ML compute cluster
• Framework: PyTorch 2.0+

🔗 Links

• GitHub Repository: mlops_project_plants
• Production API: Deployed on Kubernetes
• Azure ML Workspace: Model training and management

👨‍💻 Author

📝 License