Wine Quality Prediction 🍷

A machine learning web application that predicts wine quality based on physicochemical properties using ElasticNet regression.

📋 Features

• Real-time wine quality prediction (0-10 scale)
• User-friendly web interface
• Machine Learning model using ElasticNet regression
• Automated CI/CD pipeline with GitHub Actions
• Docker containerized deployment on AWS EC2

🛠️ Technology Stack

• Backend: Python, Flask
• ML Framework: scikit-learn, pandas, numpy
• Deployment: Docker, AWS ECR, AWS EC2
• CI/CD: GitHub Actions
• Version Control: Git, GitHub

WorkFlows

1.update config.yaml 2.update schema.yaml 3.update params.yaml 4.update the entity 5.update the configuration manager in src config 6.update the configurations 7.update the pipeline 8.update the main.py 9.update the app.py