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Author: CodeBy-HP

README.md

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+<div align="center">
+# 🫁 Chest Cancer Classification using Deep Learning
+
+[![Python](https://img.shields.io/badge/Python-3.10-blue.svg)](https://www.python.org/)
+[![TensorFlow](https://img.shields.io/badge/TensorFlow-2.x-orange.svg)](https://www.tensorflow.org/)
+[![FastAPI](https://img.shields.io/badge/FastAPI-0.100+-green.svg)](https://fastapi.tiangolo.com/)
+[![Docker](https://img.shields.io/badge/Docker-Ready-blue.svg)](https://www.docker.com/)
+[![AWS](https://img.shields.io/badge/AWS-ECS-yellow.svg)](https://aws.amazon.com/ecs/)
+[![MLflow](https://img.shields.io/badge/MLflow-Tracking-blue.svg)](https://mlflow.org/)
+
+</div>
+---
+
+## 📋 Overview
+
+An end-to-end deep learning solution for detecting **Adenocarcinoma** cancer from chest CT scan images. Built with production-grade MLOps practices, this project demonstrates complete ML pipeline implementation from data ingestion to deployment with automated CI/CD workflows.
+
+---
+
+## ✨ Key Features
+
+### Machine Learning Pipeline
+- **Transfer Learning** with EfficientNetB0 for optimal performance
+- **Automated training pipeline** with modular component architecture
+- **MLflow integration** for experiment tracking and model versioning
+- **DVC (Data Version Control)** for reproducible data pipelines
+
+### Production-Ready Application
+- **FastAPI REST API** with clean, async endpoints
+- **Interactive web interface** with drag-and-drop image upload
+- **Model caching** for sub-second inference after initial load
+- **Health check endpoints** for monitoring
+
+### MLOps & DevOps
+- **CI/CD Pipeline** with GitHub Actions
+- **Docker containerization** with optimized image size
+- **AWS ECS deployment** ready with automated workflows
+- **Environment-based configuration** for secure credential management
+
+---
+
+## 🛠️ Tech Stack
+
+### Core ML/DL
+- **TensorFlow/Keras** - Deep learning framework
+- **EfficientNetB0** - Pre-trained CNN model
+- **NumPy, Pandas** - Data manipulation
+
+### MLOps Tools
+- **MLflow** - Experiment tracking and model registry
+- **DVC** - Data and model versioning
+- **DagHub** - Remote experiment tracking
+
+### Backend & API
+- **FastAPI** - Modern web framework for building APIs
+- **Uvicorn** - ASGI server
+- **Python-multipart** - File upload handling
+
+### Frontend
+- **TailwindCSS** - Responsive UI design
+- **Vanilla JavaScript** - Interactive web interface
+
+### DevOps & Cloud
+- **Docker** - Containerization
+- **GitHub Actions** - CI/CD automation
+- **AWS ECS** - Container orchestration
+- **AWS ECR** - Container registry
+
+### Development Tools
+- **Python-dotenv** - Environment variable management
+- **PyYAML** - Configuration file parsing
+- **Python-box** - Dict to object conversion
+
+---
+
+## 📁 Project Structure
+
+```
+├── .github/
+│   └── workflows/
+│       └── main.yaml              # CI/CD pipeline configuration
+├── artifacts/
+│   ├── data_ingestion/            # Downloaded and processed data
+│   ├── prepare_base_model/        # Base and updated models
+│   └── training/                  # Trained models and logs
+├── config/
+│   └── config.yaml                # Project configuration
+├── research/
+│   ├── 01_data_ingestion.ipynb
+│   ├── 02_prepare_base_model.ipynb
+│   ├── 03_model_trainer.ipynb
+│   └── 04_model_evaluation_with_mlflow.ipynb
+├── src/cnnClassifier/
+│   ├── components/                # Core ML components
+│   │   ├── data_ingestion.py
+│   │   ├── prepare_base_model.py
+│   │   ├── model_trainer.py
+│   │   └── model_evaluation_mlflow.py
+│   ├── config/
+│   │   └── configuration.py       # Configuration manager
+│   ├── entity/
+│   │   └── config_entity.py       # Configuration dataclasses
+│   ├── pipeline/                  # Training and prediction pipelines
+│   │   ├── stage_01_data_ingestion.py
+│   │   ├── stage_02_prepare_base_model.py
+│   │   ├── stage_03_model_trainer.py
+│   │   ├── stage_04_model_evaluation.py
+│   │   └── prediction.py
+│   ├── utils/
+│   │   └── common.py              # Utility functions
+│   └── constants/
+│       └── __init__.py            # Project constants
+├── templates/
+│   └── index.html                 # Web interface
+├── app.py                         # FastAPI application
+├── main.py                        # Training pipeline entry point
+├── dvc.yaml                       # DVC pipeline configuration
+├── params.yaml                    # Model hyperparameters
+├── requirements.txt               # Python dependencies
+├── Dockerfile                     # Container configuration
+├── .dockerignore                  # Docker build exclusions
+└── README.md
+```
+
+<div align="center">
+**⭐ Star this repo if you find it useful**
+</div>